Light Runs.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "collapsed_sections": [
        "I9xmMbZOj8RD"
      ]
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# Imports"
      ],
      "metadata": {
        "id": "I9xmMbZOj8RD"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "bmhU9YU0jY_x"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "from scipy.io import loadmat, whosmat, savemat\n",
        "from sklearn.svm import SVC\n",
        "from sklearn.metrics import accuracy_score\n",
        "import os\n",
        "import re\n",
        "import pandas as pd\n",
        "from tqdm import tqdm\n",
        "from sklearn.svm import SVC\n",
        "from sklearn.metrics import accuracy_score\n",
        "import pickle\n",
        "import gc\n",
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "from sklearn.model_selection import KFold, cross_val_score\n",
        "from sklearn.utils import shuffle\n",
        "from sklearn.neural_network import MLPClassifier\n",
        "from datetime import datetime\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Utils"
      ],
      "metadata": {
        "id": "J8XeYDoFksWp"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cxZjwSofHwrn",
        "outputId": "a3c85d21-8b0c-4cbb-8217-89ddc4a0e166"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "base_path = '/content/drive/MyDrive/ML and Brain/SEED_EEG/'"
      ],
      "metadata": {
        "id": "oEKvBAiRlXmW"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# name of features\n",
        "features_map = {\n",
        "  0: 'asm_LDS',\n",
        "  1: 'asm_movingAve',\n",
        "  2: 'dasm_LDS',\n",
        "  3: 'dasm_movingAve',\n",
        "  4: 'dcau_LDS',\n",
        "  5: 'dcau_movingAve',\n",
        "  6: 'de_LDS',\n",
        "  7: 'de_movingAve',\n",
        "  8: 'psd_LDS',\n",
        "  9: 'psd_movingAve',\n",
        "  10: 'rasm_LDS',\n",
        "  11: 'rasm_movingAve'\n",
        "}"
      ],
      "metadata": {
        "id": "XqlGX84InHA-"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# extract\n",
        "def ends_with_specific_number(input_string, specific_number):\n",
        "  pattern = re.compile(rf\".*{specific_number}$\")\n",
        "  return bool(pattern.match(input_string))"
      ],
      "metadata": {
        "id": "jVVS9BfolKW1"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "'''\n",
        "Sorts files based on:\n",
        "  1. subject (Asc)\n",
        "  2. experiment date (Asc)\n",
        "'''\n",
        "\n",
        "def custom_sort(file_name):\n",
        "  # Extract the number before the underscore and the date\n",
        "  match = re.match(r'(\\d+)_(\\d+)', file_name)\n",
        "  if match:\n",
        "    number_part = int(match.group(1))\n",
        "    date_part = int(match.group(2))\n",
        "    return (number_part, date_part)\n",
        "  else:\n",
        "    return (float('inf'), float('inf'))"
      ],
      "metadata": {
        "id": "EifqP1iylOzV"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Loading Data"
      ],
      "metadata": {
        "id": "Dr9ufbi6lzna"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "with open(os.path.join(base_path, 'alldata.pkl'), 'rb') as file:\n",
        "  data = pickle.load(file)"
      ],
      "metadata": {
        "id": "z0dXW-pol1JG"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "labels = loadmat(os.path.join(base_path, 'SEED_EEG/ExtractedFeatures', 'label.mat'))['label'][0]\n",
        "labels_edited = np.empty(675)\n",
        "for i in range(0,45):\n",
        "  labels_edited[i*15:(i+1)*15] = labels"
      ],
      "metadata": {
        "id": "cCqHSjgnmDYD"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# All Subjects, 5-Fold (Mixed Data), Each Feature"
      ],
      "metadata": {
        "id": "RGsYrx-smQ2J"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "results_dict =dict([(i,{\n",
        " \"SVM\": [],\n",
        "    \"K-Nearest Neighbors\": [],\n",
        "    \"Logistic Regression\": []\n",
        "}) for i in features_map ])\n",
        "\n",
        "kf = KFold(n_splits=5, shuffle=True, random_state = 42)\n",
        "\n",
        "for f in range(len(features_map)):\n",
        "  print(f\"\\n\\nRunning feature {f}:{features_map[f]}\")\n",
        "  for fold, (train_index, test_index) in enumerate(kf.split(data)):\n",
        "    print(f\"Running fold {fold}\")\n",
        "\n",
        "    train_data = data[train_index,f,:,:,:].reshape(len(train_index),-1)\n",
        "    test_data = data[test_index,f,:,:,:].reshape(len(test_index),-1)\n",
        "\n",
        "    train_labels = labels_edited[train_index]\n",
        "    test_labels = labels_edited[test_index]\n",
        "\n",
        "    classifiers = {\n",
        "      \"SVM\": SVC(),\n",
        "      \"K-Nearest Neighbors\": KNeighborsClassifier(),\n",
        "      \"Logistic Regression\": LogisticRegression()\n",
        "    }\n",
        "\n",
        "    for name, clf in classifiers.items():\n",
        "        print(f\"{name} started at: {datetime.now().strftime('%H:%M:%S')}\")\n",
        "        clf.fit(train_data, train_labels)\n",
        "        print(f\"{name} trained at: {datetime.now().strftime('%H:%M:%S')}\")\n",
        "        predictions = clf.predict(test_data)\n",
        "        print(f\"{name} predicted at: {datetime.now().strftime('%H:%M:%S')}\")\n",
        "        accuracy = accuracy_score(test_labels, predictions)\n",
        "        print(f\"{name} Accuracy: {accuracy}\")\n",
        "        if results_dict[f][name]:\n",
        "           results_dict[f][name].append(accuracy)\n",
        "        else:\n",
        "           results_dict[f][name] = [accuracy]\n",
        "\n",
        "        del clf\n",
        "        del predictions\n",
        "        gc.collect()\n",
        "\n",
        "\n",
        "df = pd.DataFrame(results_dict)\n",
        "df.to_csv(os.path.join(base_path, 'final-allsubj-5fold-eachfeatures.csv'))"
      ],
      "metadata": {
        "id": "rDjMGI-TmfCU",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7cc73d59-4eec-4e51-aaca-ba7c4ef61043"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n",
            "Running feature 0:asm_LDS\n",
            "Running fold 0\n",
            "SVM started at: 19:56:06\n",
            "SVM trained at: 19:57:03\n",
            "SVM predicted at: 19:57:20\n",
            "SVM Accuracy: 0.5185185185185185\n",
            "K-Nearest Neighbors started at: 19:57:20\n",
            "K-Nearest Neighbors trained at: 19:57:20\n",
            "K-Nearest Neighbors predicted at: 19:57:21\n",
            "K-Nearest Neighbors Accuracy: 0.4148148148148148\n",
            "Logistic Regression started at: 19:57:21\n",
            "Logistic Regression trained at: 19:58:08\n",
            "Logistic Regression predicted at: 19:58:08\n",
            "Logistic Regression Accuracy: 0.7407407407407407\n",
            "Running fold 1\n",
            "SVM started at: 19:58:10\n",
            "SVM trained at: 19:58:55\n",
            "SVM predicted at: 19:59:11\n",
            "SVM Accuracy: 0.4962962962962963\n",
            "K-Nearest Neighbors started at: 19:59:12\n",
            "K-Nearest Neighbors trained at: 19:59:12\n",
            "K-Nearest Neighbors predicted at: 19:59:12\n",
            "K-Nearest Neighbors Accuracy: 0.37037037037037035\n",
            "Logistic Regression started at: 19:59:12\n",
            "Logistic Regression trained at: 19:59:55\n",
            "Logistic Regression predicted at: 19:59:55\n",
            "Logistic Regression Accuracy: 0.725925925925926\n",
            "Running fold 2\n",
            "SVM started at: 19:59:56\n",
            "SVM trained at: 20:00:37\n",
            "SVM predicted at: 20:00:53\n",
            "SVM Accuracy: 0.4222222222222222\n",
            "K-Nearest Neighbors started at: 20:00:53\n",
            "K-Nearest Neighbors trained at: 20:00:53\n",
            "K-Nearest Neighbors predicted at: 20:00:54\n",
            "K-Nearest Neighbors Accuracy: 0.3925925925925926\n",
            "Logistic Regression started at: 20:00:54\n",
            "Logistic Regression trained at: 20:01:35\n",
            "Logistic Regression predicted at: 20:01:35\n",
            "Logistic Regression Accuracy: 0.7333333333333333\n",
            "Running fold 3\n",
            "SVM started at: 20:01:37\n",
            "SVM trained at: 20:02:20\n",
            "SVM predicted at: 20:02:34\n",
            "SVM Accuracy: 0.5481481481481482\n",
            "K-Nearest Neighbors started at: 20:02:34\n",
            "K-Nearest Neighbors trained at: 20:02:34\n",
            "K-Nearest Neighbors predicted at: 20:02:35\n",
            "K-Nearest Neighbors Accuracy: 0.3925925925925926\n",
            "Logistic Regression started at: 20:02:35\n",
            "Logistic Regression trained at: 20:03:17\n",
            "Logistic Regression predicted at: 20:03:17\n",
            "Logistic Regression Accuracy: 0.7111111111111111\n",
            "Running fold 4\n",
            "SVM started at: 20:03:18\n",
            "SVM trained at: 20:03:59\n",
            "SVM predicted at: 20:04:15\n",
            "SVM Accuracy: 0.42962962962962964\n",
            "K-Nearest Neighbors started at: 20:04:15\n",
            "K-Nearest Neighbors trained at: 20:04:15\n",
            "K-Nearest Neighbors predicted at: 20:04:16\n",
            "K-Nearest Neighbors Accuracy: 0.3333333333333333\n",
            "Logistic Regression started at: 20:04:16\n",
            "Logistic Regression trained at: 20:04:58\n",
            "Logistic Regression predicted at: 20:04:58\n",
            "Logistic Regression Accuracy: 0.6518518518518519\n",
            "\n",
            "\n",
            "Running feature 1:asm_movingAve\n",
            "Running fold 0\n",
            "SVM started at: 20:04:59\n",
            "SVM trained at: 20:05:43\n",
            "SVM predicted at: 20:05:59\n",
            "SVM Accuracy: 0.5111111111111111\n",
            "K-Nearest Neighbors started at: 20:05:59\n",
            "K-Nearest Neighbors trained at: 20:05:59\n",
            "K-Nearest Neighbors predicted at: 20:06:00\n",
            "K-Nearest Neighbors Accuracy: 0.4148148148148148\n",
            "Logistic Regression started at: 20:06:00\n",
            "Logistic Regression trained at: 20:06:41\n",
            "Logistic Regression predicted at: 20:06:41\n",
            "Logistic Regression Accuracy: 0.7703703703703704\n",
            "Running fold 1\n",
            "SVM started at: 20:06:41\n",
            "SVM trained at: 20:07:21\n",
            "SVM predicted at: 20:07:37\n",
            "SVM Accuracy: 0.4740740740740741\n",
            "K-Nearest Neighbors started at: 20:07:37\n",
            "K-Nearest Neighbors trained at: 20:07:37\n",
            "K-Nearest Neighbors predicted at: 20:07:38\n",
            "K-Nearest Neighbors Accuracy: 0.32592592592592595\n",
            "Logistic Regression started at: 20:07:38\n",
            "Logistic Regression trained at: 20:08:19\n",
            "Logistic Regression predicted at: 20:08:20\n",
            "Logistic Regression Accuracy: 0.7925925925925926\n",
            "Running fold 2\n",
            "SVM started at: 20:08:20\n",
            "SVM trained at: 20:09:04\n",
            "SVM predicted at: 20:09:20\n",
            "SVM Accuracy: 0.4148148148148148\n",
            "K-Nearest Neighbors started at: 20:09:20\n",
            "K-Nearest Neighbors trained at: 20:09:20\n",
            "K-Nearest Neighbors predicted at: 20:09:21\n",
            "K-Nearest Neighbors Accuracy: 0.4444444444444444\n",
            "Logistic Regression started at: 20:09:21\n",
            "Logistic Regression trained at: 20:10:02\n",
            "Logistic Regression predicted at: 20:10:02\n",
            "Logistic Regression Accuracy: 0.725925925925926\n",
            "Running fold 3\n",
            "SVM started at: 20:10:03\n",
            "SVM trained at: 20:10:47\n",
            "SVM predicted at: 20:11:04\n",
            "SVM Accuracy: 0.5333333333333333\n",
            "K-Nearest Neighbors started at: 20:11:04\n",
            "K-Nearest Neighbors trained at: 20:11:04\n",
            "K-Nearest Neighbors predicted at: 20:11:05\n",
            "K-Nearest Neighbors Accuracy: 0.3925925925925926\n",
            "Logistic Regression started at: 20:11:05\n",
            "Logistic Regression trained at: 20:11:46\n",
            "Logistic Regression predicted at: 20:11:46\n",
            "Logistic Regression Accuracy: 0.725925925925926\n",
            "Running fold 4\n",
            "SVM started at: 20:11:47\n",
            "SVM trained at: 20:12:30\n",
            "SVM predicted at: 20:12:43\n",
            "SVM Accuracy: 0.4666666666666667\n",
            "K-Nearest Neighbors started at: 20:12:43\n",
            "K-Nearest Neighbors trained at: 20:12:43\n",
            "K-Nearest Neighbors predicted at: 20:12:45\n",
            "K-Nearest Neighbors Accuracy: 0.35555555555555557\n",
            "Logistic Regression started at: 20:12:45\n",
            "Logistic Regression trained at: 20:13:28\n",
            "Logistic Regression predicted at: 20:13:28\n",
            "Logistic Regression Accuracy: 0.7555555555555555\n",
            "\n",
            "\n",
            "Running feature 2:dasm_LDS\n",
            "Running fold 0\n",
            "SVM started at: 20:13:28\n",
            "SVM trained at: 20:14:11\n",
            "SVM predicted at: 20:14:27\n",
            "SVM Accuracy: 0.362962962962963\n",
            "K-Nearest Neighbors started at: 20:14:27\n",
            "K-Nearest Neighbors trained at: 20:14:27\n",
            "K-Nearest Neighbors predicted at: 20:14:28\n",
            "K-Nearest Neighbors Accuracy: 0.4666666666666667\n",
            "Logistic Regression started at: 20:14:28\n",
            "Logistic Regression trained at: 20:15:06\n",
            "Logistic Regression predicted at: 20:15:06\n",
            "Logistic Regression Accuracy: 0.6148148148148148\n",
            "Running fold 1\n",
            "SVM started at: 20:15:06\n",
            "SVM trained at: 20:15:46\n",
            "SVM predicted at: 20:16:00\n",
            "SVM Accuracy: 0.34814814814814815\n",
            "K-Nearest Neighbors started at: 20:16:01\n",
            "K-Nearest Neighbors trained at: 20:16:01\n",
            "K-Nearest Neighbors predicted at: 20:16:01\n",
            "K-Nearest Neighbors Accuracy: 0.35555555555555557\n",
            "Logistic Regression started at: 20:16:01\n",
            "Logistic Regression trained at: 20:16:40\n",
            "Logistic Regression predicted at: 20:16:40\n",
            "Logistic Regression Accuracy: 0.5925925925925926\n",
            "Running fold 2\n",
            "SVM started at: 20:16:40\n",
            "SVM trained at: 20:17:19\n",
            "SVM predicted at: 20:17:31\n",
            "SVM Accuracy: 0.2814814814814815\n",
            "K-Nearest Neighbors started at: 20:17:31\n",
            "K-Nearest Neighbors trained at: 20:17:31\n",
            "K-Nearest Neighbors predicted at: 20:17:32\n",
            "K-Nearest Neighbors Accuracy: 0.4444444444444444\n",
            "Logistic Regression started at: 20:17:32\n",
            "Logistic Regression trained at: 20:18:09\n",
            "Logistic Regression predicted at: 20:18:09\n",
            "Logistic Regression Accuracy: 0.5555555555555556\n",
            "Running fold 3\n",
            "SVM started at: 20:18:10\n",
            "SVM trained at: 20:18:52\n",
            "SVM predicted at: 20:19:05\n",
            "SVM Accuracy: 0.4148148148148148\n",
            "K-Nearest Neighbors started at: 20:19:06\n",
            "K-Nearest Neighbors trained at: 20:19:06\n",
            "K-Nearest Neighbors predicted at: 20:19:07\n",
            "K-Nearest Neighbors Accuracy: 0.35555555555555557\n",
            "Logistic Regression started at: 20:19:07\n",
            "Logistic Regression trained at: 20:19:44\n",
            "Logistic Regression predicted at: 20:19:44\n",
            "Logistic Regression Accuracy: 0.6148148148148148\n",
            "Running fold 4\n",
            "SVM started at: 20:19:45\n",
            "SVM trained at: 20:20:22\n",
            "SVM predicted at: 20:20:35\n",
            "SVM Accuracy: 0.362962962962963\n",
            "K-Nearest Neighbors started at: 20:20:35\n",
            "K-Nearest Neighbors trained at: 20:20:35\n",
            "K-Nearest Neighbors predicted at: 20:20:36\n",
            "K-Nearest Neighbors Accuracy: 0.362962962962963\n",
            "Logistic Regression started at: 20:20:36\n",
            "Logistic Regression trained at: 20:21:13\n",
            "Logistic Regression predicted at: 20:21:13\n",
            "Logistic Regression Accuracy: 0.5925925925925926\n",
            "\n",
            "\n",
            "Running feature 3:dasm_movingAve\n",
            "Running fold 0\n",
            "SVM started at: 20:21:14\n",
            "SVM trained at: 20:21:52\n",
            "SVM predicted at: 20:22:09\n",
            "SVM Accuracy: 0.4\n",
            "K-Nearest Neighbors started at: 20:22:09\n",
            "K-Nearest Neighbors trained at: 20:22:09\n",
            "K-Nearest Neighbors predicted at: 20:22:10\n",
            "K-Nearest Neighbors Accuracy: 0.37777777777777777\n",
            "Logistic Regression started at: 20:22:10\n",
            "Logistic Regression trained at: 20:22:47\n",
            "Logistic Regression predicted at: 20:22:47\n",
            "Logistic Regression Accuracy: 0.6444444444444445\n",
            "Running fold 1\n",
            "SVM started at: 20:22:47\n",
            "SVM trained at: 20:23:24\n",
            "SVM predicted at: 20:23:38\n",
            "SVM Accuracy: 0.37777777777777777\n",
            "K-Nearest Neighbors started at: 20:23:39\n",
            "K-Nearest Neighbors trained at: 20:23:39\n",
            "K-Nearest Neighbors predicted at: 20:23:39\n",
            "K-Nearest Neighbors Accuracy: 0.2814814814814815\n",
            "Logistic Regression started at: 20:23:40\n",
            "Logistic Regression trained at: 20:24:19\n",
            "Logistic Regression predicted at: 20:24:19\n",
            "Logistic Regression Accuracy: 0.5925925925925926\n",
            "Running fold 2\n",
            "SVM started at: 20:24:19\n",
            "SVM trained at: 20:24:56\n",
            "SVM predicted at: 20:25:11\n",
            "SVM Accuracy: 0.2814814814814815\n",
            "K-Nearest Neighbors started at: 20:25:11\n",
            "K-Nearest Neighbors trained at: 20:25:11\n",
            "K-Nearest Neighbors predicted at: 20:25:11\n",
            "K-Nearest Neighbors Accuracy: 0.4148148148148148\n",
            "Logistic Regression started at: 20:25:11\n",
            "Logistic Regression trained at: 20:25:49\n",
            "Logistic Regression predicted at: 20:25:49\n",
            "Logistic Regression Accuracy: 0.5111111111111111\n",
            "Running fold 3\n",
            "SVM started at: 20:25:49\n",
            "SVM trained at: 20:26:26\n",
            "SVM predicted at: 20:26:41\n",
            "SVM Accuracy: 0.3925925925925926\n",
            "K-Nearest Neighbors started at: 20:26:41\n",
            "K-Nearest Neighbors trained at: 20:26:41\n",
            "K-Nearest Neighbors predicted at: 20:26:42\n",
            "K-Nearest Neighbors Accuracy: 0.37777777777777777\n",
            "Logistic Regression started at: 20:26:42\n",
            "Logistic Regression trained at: 20:27:19\n",
            "Logistic Regression predicted at: 20:27:19\n",
            "Logistic Regression Accuracy: 0.5777777777777777\n",
            "Running fold 4\n",
            "SVM started at: 20:27:19\n",
            "SVM trained at: 20:27:55\n",
            "SVM predicted at: 20:28:10\n",
            "SVM Accuracy: 0.35555555555555557\n",
            "K-Nearest Neighbors started at: 20:28:11\n",
            "K-Nearest Neighbors trained at: 20:28:11\n",
            "K-Nearest Neighbors predicted at: 20:28:11\n",
            "K-Nearest Neighbors Accuracy: 0.362962962962963\n",
            "Logistic Regression started at: 20:28:11\n",
            "Logistic Regression trained at: 20:28:48\n",
            "Logistic Regression predicted at: 20:28:48\n",
            "Logistic Regression Accuracy: 0.6148148148148148\n",
            "\n",
            "\n",
            "Running feature 4:dcau_LDS\n",
            "Running fold 0\n",
            "SVM started at: 20:28:48\n",
            "SVM trained at: 20:29:22\n",
            "SVM predicted at: 20:29:36\n",
            "SVM Accuracy: 0.6962962962962963\n",
            "K-Nearest Neighbors started at: 20:29:36\n",
            "K-Nearest Neighbors trained at: 20:29:37\n",
            "K-Nearest Neighbors predicted at: 20:29:37\n",
            "K-Nearest Neighbors Accuracy: 0.37777777777777777\n",
            "Logistic Regression started at: 20:29:37\n",
            "Logistic Regression trained at: 20:30:15\n",
            "Logistic Regression predicted at: 20:30:15\n",
            "Logistic Regression Accuracy: 0.8666666666666667\n",
            "Running fold 1\n",
            "SVM started at: 20:30:15\n",
            "SVM trained at: 20:30:48\n",
            "SVM predicted at: 20:31:03\n",
            "SVM Accuracy: 0.6148148148148148\n",
            "K-Nearest Neighbors started at: 20:31:03\n",
            "K-Nearest Neighbors trained at: 20:31:03\n",
            "K-Nearest Neighbors predicted at: 20:31:04\n",
            "K-Nearest Neighbors Accuracy: 0.3851851851851852\n",
            "Logistic Regression started at: 20:31:04\n",
            "Logistic Regression trained at: 20:31:41\n",
            "Logistic Regression predicted at: 20:31:41\n",
            "Logistic Regression Accuracy: 0.837037037037037\n",
            "Running fold 2\n",
            "SVM started at: 20:31:42\n",
            "SVM trained at: 20:32:21\n",
            "SVM predicted at: 20:32:35\n",
            "SVM Accuracy: 0.674074074074074\n",
            "K-Nearest Neighbors started at: 20:32:35\n",
            "K-Nearest Neighbors trained at: 20:32:35\n",
            "K-Nearest Neighbors predicted at: 20:32:36\n",
            "K-Nearest Neighbors Accuracy: 0.4222222222222222\n",
            "Logistic Regression started at: 20:32:36\n",
            "Logistic Regression trained at: 20:33:14\n",
            "Logistic Regression predicted at: 20:33:14\n",
            "Logistic Regression Accuracy: 0.8074074074074075\n",
            "Running fold 3\n",
            "SVM started at: 20:33:14\n",
            "SVM trained at: 20:33:47\n",
            "SVM predicted at: 20:34:00\n",
            "SVM Accuracy: 0.7111111111111111\n",
            "K-Nearest Neighbors started at: 20:34:00\n",
            "K-Nearest Neighbors trained at: 20:34:00\n",
            "K-Nearest Neighbors predicted at: 20:34:01\n",
            "K-Nearest Neighbors Accuracy: 0.3851851851851852\n",
            "Logistic Regression started at: 20:34:02\n",
            "Logistic Regression trained at: 20:34:40\n",
            "Logistic Regression predicted at: 20:34:40\n",
            "Logistic Regression Accuracy: 0.8444444444444444\n",
            "Running fold 4\n",
            "SVM started at: 20:34:40\n",
            "SVM trained at: 20:35:13\n",
            "SVM predicted at: 20:35:24\n",
            "SVM Accuracy: 0.6148148148148148\n",
            "K-Nearest Neighbors started at: 20:35:24\n",
            "K-Nearest Neighbors trained at: 20:35:24\n",
            "K-Nearest Neighbors predicted at: 20:35:25\n",
            "K-Nearest Neighbors Accuracy: 0.3851851851851852\n",
            "Logistic Regression started at: 20:35:25\n",
            "Logistic Regression trained at: 20:36:03\n",
            "Logistic Regression predicted at: 20:36:03\n",
            "Logistic Regression Accuracy: 0.762962962962963\n",
            "\n",
            "\n",
            "Running feature 5:dcau_movingAve\n",
            "Running fold 0\n",
            "SVM started at: 20:36:05\n",
            "SVM trained at: 20:36:42\n",
            "SVM predicted at: 20:36:54\n",
            "SVM Accuracy: 0.7037037037037037\n",
            "K-Nearest Neighbors started at: 20:36:54\n",
            "K-Nearest Neighbors trained at: 20:36:54\n",
            "K-Nearest Neighbors predicted at: 20:36:55\n",
            "K-Nearest Neighbors Accuracy: 0.43703703703703706\n",
            "Logistic Regression started at: 20:36:55\n",
            "Logistic Regression trained at: 20:37:31\n",
            "Logistic Regression predicted at: 20:37:32\n",
            "Logistic Regression Accuracy: 0.8962962962962963\n",
            "Running fold 1\n",
            "SVM started at: 20:37:32\n",
            "SVM trained at: 20:38:08\n",
            "SVM predicted at: 20:38:22\n",
            "SVM Accuracy: 0.5925925925925926\n",
            "K-Nearest Neighbors started at: 20:38:22\n",
            "K-Nearest Neighbors trained at: 20:38:22\n",
            "K-Nearest Neighbors predicted at: 20:38:23\n",
            "K-Nearest Neighbors Accuracy: 0.3925925925925926\n",
            "Logistic Regression started at: 20:38:23\n",
            "Logistic Regression trained at: 20:39:01\n",
            "Logistic Regression predicted at: 20:39:01\n",
            "Logistic Regression Accuracy: 0.8592592592592593\n",
            "Running fold 2\n",
            "SVM started at: 20:39:01\n",
            "SVM trained at: 20:39:35\n",
            "SVM predicted at: 20:39:50\n",
            "SVM Accuracy: 0.6296296296296297\n",
            "K-Nearest Neighbors started at: 20:39:50\n",
            "K-Nearest Neighbors trained at: 20:39:50\n",
            "K-Nearest Neighbors predicted at: 20:39:51\n",
            "K-Nearest Neighbors Accuracy: 0.3851851851851852\n",
            "Logistic Regression started at: 20:39:51\n",
            "Logistic Regression trained at: 20:40:29\n",
            "Logistic Regression predicted at: 20:40:29\n",
            "Logistic Regression Accuracy: 0.8592592592592593\n",
            "Running fold 3\n",
            "SVM started at: 20:40:29\n",
            "SVM trained at: 20:41:03\n",
            "SVM predicted at: 20:41:18\n",
            "SVM Accuracy: 0.7555555555555555\n",
            "K-Nearest Neighbors started at: 20:41:18\n",
            "K-Nearest Neighbors trained at: 20:41:18\n",
            "K-Nearest Neighbors predicted at: 20:41:19\n",
            "K-Nearest Neighbors Accuracy: 0.3851851851851852\n",
            "Logistic Regression started at: 20:41:19\n",
            "Logistic Regression trained at: 20:41:58\n",
            "Logistic Regression predicted at: 20:41:58\n",
            "Logistic Regression Accuracy: 0.8592592592592593\n",
            "Running fold 4\n",
            "SVM started at: 20:41:58\n",
            "SVM trained at: 20:42:38\n",
            "SVM predicted at: 20:42:54\n",
            "SVM Accuracy: 0.6222222222222222\n",
            "K-Nearest Neighbors started at: 20:42:54\n",
            "K-Nearest Neighbors trained at: 20:42:55\n",
            "K-Nearest Neighbors predicted at: 20:42:56\n",
            "K-Nearest Neighbors Accuracy: 0.37777777777777777\n",
            "Logistic Regression started at: 20:42:56\n",
            "Logistic Regression trained at: 20:43:35\n",
            "Logistic Regression predicted at: 20:43:35\n",
            "Logistic Regression Accuracy: 0.8148148148148148\n",
            "\n",
            "\n",
            "Running feature 6:de_LDS\n",
            "Running fold 0\n",
            "SVM started at: 20:43:37\n",
            "SVM trained at: 20:44:00\n",
            "SVM predicted at: 20:44:09\n",
            "SVM Accuracy: 0.7111111111111111\n",
            "K-Nearest Neighbors started at: 20:44:09\n",
            "K-Nearest Neighbors trained at: 20:44:09\n",
            "K-Nearest Neighbors predicted at: 20:44:10\n",
            "K-Nearest Neighbors Accuracy: 0.7481481481481481\n",
            "Logistic Regression started at: 20:44:10\n",
            "Logistic Regression trained at: 20:44:54\n",
            "Logistic Regression predicted at: 20:44:54\n",
            "Logistic Regression Accuracy: 0.8666666666666667\n",
            "Running fold 1\n",
            "SVM started at: 20:44:55\n",
            "SVM trained at: 20:45:14\n",
            "SVM predicted at: 20:45:26\n",
            "SVM Accuracy: 0.7481481481481481\n",
            "K-Nearest Neighbors started at: 20:45:26\n",
            "K-Nearest Neighbors trained at: 20:45:26\n",
            "K-Nearest Neighbors predicted at: 20:45:27\n",
            "K-Nearest Neighbors Accuracy: 0.7703703703703704\n",
            "Logistic Regression started at: 20:45:27\n",
            "Logistic Regression trained at: 20:46:07\n",
            "Logistic Regression predicted at: 20:46:07\n",
            "Logistic Regression Accuracy: 0.8666666666666667\n",
            "Running fold 2\n",
            "SVM started at: 20:46:08\n",
            "SVM trained at: 20:46:30\n",
            "SVM predicted at: 20:46:42\n",
            "SVM Accuracy: 0.762962962962963\n",
            "K-Nearest Neighbors started at: 20:46:42\n",
            "K-Nearest Neighbors trained at: 20:46:42\n",
            "K-Nearest Neighbors predicted at: 20:46:43\n",
            "K-Nearest Neighbors Accuracy: 0.7777777777777778\n",
            "Logistic Regression started at: 20:46:43\n",
            "Logistic Regression trained at: 20:47:28\n",
            "Logistic Regression predicted at: 20:47:28\n",
            "Logistic Regression Accuracy: 0.9037037037037037\n",
            "Running fold 3\n",
            "SVM started at: 20:47:29\n",
            "SVM trained at: 20:47:49\n",
            "SVM predicted at: 20:47:58\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 20:47:58\n",
            "K-Nearest Neighbors trained at: 20:47:58\n",
            "K-Nearest Neighbors predicted at: 20:47:58\n",
            "K-Nearest Neighbors Accuracy: 0.7777777777777778\n",
            "Logistic Regression started at: 20:47:59\n",
            "Logistic Regression trained at: 20:48:38\n",
            "Logistic Regression predicted at: 20:48:38\n",
            "Logistic Regression Accuracy: 0.8222222222222222\n",
            "Running fold 4\n",
            "SVM started at: 20:48:38\n",
            "SVM trained at: 20:49:02\n",
            "SVM predicted at: 20:49:10\n",
            "SVM Accuracy: 0.7481481481481481\n",
            "K-Nearest Neighbors started at: 20:49:10\n",
            "K-Nearest Neighbors trained at: 20:49:10\n",
            "K-Nearest Neighbors predicted at: 20:49:11\n",
            "K-Nearest Neighbors Accuracy: 0.7555555555555555\n",
            "Logistic Regression started at: 20:49:11\n",
            "Logistic Regression trained at: 20:49:54\n",
            "Logistic Regression predicted at: 20:49:54\n",
            "Logistic Regression Accuracy: 0.8\n",
            "\n",
            "\n",
            "Running feature 7:de_movingAve\n",
            "Running fold 0\n",
            "SVM started at: 20:49:55\n",
            "SVM trained at: 20:50:17\n",
            "SVM predicted at: 20:50:25\n",
            "SVM Accuracy: 0.7111111111111111\n",
            "K-Nearest Neighbors started at: 20:50:25\n",
            "K-Nearest Neighbors trained at: 20:50:25\n",
            "K-Nearest Neighbors predicted at: 20:50:26\n",
            "K-Nearest Neighbors Accuracy: 0.7555555555555555\n",
            "Logistic Regression started at: 20:50:27\n",
            "Logistic Regression trained at: 20:51:09\n",
            "Logistic Regression predicted at: 20:51:09\n",
            "Logistic Regression Accuracy: 0.8740740740740741\n",
            "Running fold 1\n",
            "SVM started at: 20:51:10\n",
            "SVM trained at: 20:51:32\n",
            "SVM predicted at: 20:51:44\n",
            "SVM Accuracy: 0.7481481481481481\n",
            "K-Nearest Neighbors started at: 20:51:44\n",
            "K-Nearest Neighbors trained at: 20:51:44\n",
            "K-Nearest Neighbors predicted at: 20:51:45\n",
            "K-Nearest Neighbors Accuracy: 0.7777777777777778\n",
            "Logistic Regression started at: 20:51:45\n",
            "Logistic Regression trained at: 20:52:29\n",
            "Logistic Regression predicted at: 20:52:29\n",
            "Logistic Regression Accuracy: 0.8814814814814815\n",
            "Running fold 2\n",
            "SVM started at: 20:52:30\n",
            "SVM trained at: 20:52:50\n",
            "SVM predicted at: 20:52:59\n",
            "SVM Accuracy: 0.762962962962963\n",
            "K-Nearest Neighbors started at: 20:52:59\n",
            "K-Nearest Neighbors trained at: 20:52:59\n",
            "K-Nearest Neighbors predicted at: 20:53:00\n",
            "K-Nearest Neighbors Accuracy: 0.8\n",
            "Logistic Regression started at: 20:53:00\n",
            "Logistic Regression trained at: 20:53:42\n",
            "Logistic Regression predicted at: 20:53:42\n",
            "Logistic Regression Accuracy: 0.9185185185185185\n",
            "Running fold 3\n",
            "SVM started at: 20:53:42\n",
            "SVM trained at: 20:54:04\n",
            "SVM predicted at: 20:54:16\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 20:54:16\n",
            "K-Nearest Neighbors trained at: 20:54:16\n",
            "K-Nearest Neighbors predicted at: 20:54:17\n",
            "K-Nearest Neighbors Accuracy: 0.8222222222222222\n",
            "Logistic Regression started at: 20:54:17\n",
            "Logistic Regression trained at: 20:54:58\n",
            "Logistic Regression predicted at: 20:54:58\n",
            "Logistic Regression Accuracy: 0.8814814814814815\n",
            "Running fold 4\n",
            "SVM started at: 20:54:58\n",
            "SVM trained at: 20:55:19\n",
            "SVM predicted at: 20:55:27\n",
            "SVM Accuracy: 0.762962962962963\n",
            "K-Nearest Neighbors started at: 20:55:27\n",
            "K-Nearest Neighbors trained at: 20:55:27\n",
            "K-Nearest Neighbors predicted at: 20:55:28\n",
            "K-Nearest Neighbors Accuracy: 0.7777777777777778\n",
            "Logistic Regression started at: 20:55:28\n",
            "Logistic Regression trained at: 20:56:09\n",
            "Logistic Regression predicted at: 20:56:09\n",
            "Logistic Regression Accuracy: 0.8444444444444444\n",
            "\n",
            "\n",
            "Running feature 8:psd_LDS\n",
            "Running fold 0\n",
            "SVM started at: 20:56:10\n",
            "SVM trained at: 20:56:49\n",
            "SVM predicted at: 20:57:04\n",
            "SVM Accuracy: 0.28888888888888886\n",
            "K-Nearest Neighbors started at: 20:57:04\n",
            "K-Nearest Neighbors trained at: 20:57:04\n",
            "K-Nearest Neighbors predicted at: 20:57:05\n",
            "K-Nearest Neighbors Accuracy: 0.45925925925925926\n",
            "Logistic Regression started at: 20:57:05\n",
            "Logistic Regression trained at: 20:58:26\n",
            "Logistic Regression predicted at: 20:58:26\n",
            "Logistic Regression Accuracy: 0.6\n",
            "Running fold 1\n",
            "SVM started at: 20:58:26\n",
            "SVM trained at: 20:59:05\n",
            "SVM predicted at: 20:59:18\n",
            "SVM Accuracy: 0.28888888888888886\n",
            "K-Nearest Neighbors started at: 20:59:18\n",
            "K-Nearest Neighbors trained at: 20:59:18\n",
            "K-Nearest Neighbors predicted at: 20:59:20\n",
            "K-Nearest Neighbors Accuracy: 0.45185185185185184\n",
            "Logistic Regression started at: 20:59:20\n",
            "Logistic Regression trained at: 20:59:27\n",
            "Logistic Regression predicted at: 20:59:27\n",
            "Logistic Regression Accuracy: 0.34814814814814815\n",
            "Running fold 2\n",
            "SVM started at: 20:59:27\n",
            "SVM trained at: 21:00:10\n",
            "SVM predicted at: 21:00:22\n",
            "SVM Accuracy: 0.2814814814814815\n",
            "K-Nearest Neighbors started at: 21:00:22\n",
            "K-Nearest Neighbors trained at: 21:00:22\n",
            "K-Nearest Neighbors predicted at: 21:00:24\n",
            "K-Nearest Neighbors Accuracy: 0.5111111111111111\n",
            "Logistic Regression started at: 21:00:24\n",
            "Logistic Regression trained at: 21:00:31\n",
            "Logistic Regression predicted at: 21:00:31\n",
            "Logistic Regression Accuracy: 0.28888888888888886\n",
            "Running fold 3\n",
            "SVM started at: 21:00:32\n",
            "SVM trained at: 21:01:13\n",
            "SVM predicted at: 21:01:26\n",
            "SVM Accuracy: 0.2814814814814815\n",
            "K-Nearest Neighbors started at: 21:01:26\n",
            "K-Nearest Neighbors trained at: 21:01:26\n",
            "K-Nearest Neighbors predicted at: 21:01:27\n",
            "K-Nearest Neighbors Accuracy: 0.4962962962962963\n",
            "Logistic Regression started at: 21:01:27\n",
            "Logistic Regression trained at: 21:01:35\n",
            "Logistic Regression predicted at: 21:01:35\n",
            "Logistic Regression Accuracy: 0.3925925925925926\n",
            "Running fold 4\n",
            "SVM started at: 21:01:35\n",
            "SVM trained at: 21:02:17\n",
            "SVM predicted at: 21:02:31\n",
            "SVM Accuracy: 0.2814814814814815\n",
            "K-Nearest Neighbors started at: 21:02:31\n",
            "K-Nearest Neighbors trained at: 21:02:31\n",
            "K-Nearest Neighbors predicted at: 21:02:32\n",
            "K-Nearest Neighbors Accuracy: 0.43703703703703706\n",
            "Logistic Regression started at: 21:02:32\n",
            "Logistic Regression trained at: 21:02:43\n",
            "Logistic Regression predicted at: 21:02:43\n",
            "Logistic Regression Accuracy: 0.28888888888888886\n",
            "\n",
            "\n",
            "Running feature 9:psd_movingAve\n",
            "Running fold 0\n",
            "SVM started at: 21:02:44\n",
            "SVM trained at: 21:03:24\n",
            "SVM predicted at: 21:03:36\n",
            "SVM Accuracy: 0.2962962962962963\n",
            "K-Nearest Neighbors started at: 21:03:36\n",
            "K-Nearest Neighbors trained at: 21:03:36\n",
            "K-Nearest Neighbors predicted at: 21:03:37\n",
            "K-Nearest Neighbors Accuracy: 0.45925925925925926\n",
            "Logistic Regression started at: 21:03:37\n",
            "Logistic Regression trained at: 21:05:22\n",
            "Logistic Regression predicted at: 21:05:22\n",
            "Logistic Regression Accuracy: 0.4740740740740741\n",
            "Running fold 1\n",
            "SVM started at: 21:05:22\n",
            "SVM trained at: 21:06:02\n",
            "SVM predicted at: 21:06:17\n",
            "SVM Accuracy: 0.28888888888888886\n",
            "K-Nearest Neighbors started at: 21:06:17\n",
            "K-Nearest Neighbors trained at: 21:06:17\n",
            "K-Nearest Neighbors predicted at: 21:06:18\n",
            "K-Nearest Neighbors Accuracy: 0.5037037037037037\n",
            "Logistic Regression started at: 21:06:18\n",
            "Logistic Regression trained at: 21:06:26\n",
            "Logistic Regression predicted at: 21:06:26\n",
            "Logistic Regression Accuracy: 0.34814814814814815\n",
            "Running fold 2\n",
            "SVM started at: 21:06:27\n",
            "SVM trained at: 21:07:06\n",
            "SVM predicted at: 21:07:21\n",
            "SVM Accuracy: 0.28888888888888886\n",
            "K-Nearest Neighbors started at: 21:07:22\n",
            "K-Nearest Neighbors trained at: 21:07:22\n",
            "K-Nearest Neighbors predicted at: 21:07:22\n",
            "K-Nearest Neighbors Accuracy: 0.45185185185185184\n",
            "Logistic Regression started at: 21:07:23\n",
            "Logistic Regression trained at: 21:07:31\n",
            "Logistic Regression predicted at: 21:07:31\n",
            "Logistic Regression Accuracy: 0.28888888888888886\n",
            "Running fold 3\n",
            "SVM started at: 21:07:31\n",
            "SVM trained at: 21:08:13\n",
            "SVM predicted at: 21:08:28\n",
            "SVM Accuracy: 0.28888888888888886\n",
            "K-Nearest Neighbors started at: 21:08:28\n",
            "K-Nearest Neighbors trained at: 21:08:28\n",
            "K-Nearest Neighbors predicted at: 21:08:28\n",
            "K-Nearest Neighbors Accuracy: 0.45185185185185184\n",
            "Logistic Regression started at: 21:08:29\n",
            "Logistic Regression trained at: 21:08:36\n",
            "Logistic Regression predicted at: 21:08:36\n",
            "Logistic Regression Accuracy: 0.3925925925925926\n",
            "Running fold 4\n",
            "SVM started at: 21:08:37\n",
            "SVM trained at: 21:09:16\n",
            "SVM predicted at: 21:09:31\n",
            "SVM Accuracy: 0.28888888888888886\n",
            "K-Nearest Neighbors started at: 21:09:31\n",
            "K-Nearest Neighbors trained at: 21:09:31\n",
            "K-Nearest Neighbors predicted at: 21:09:32\n",
            "K-Nearest Neighbors Accuracy: 0.37777777777777777\n",
            "Logistic Regression started at: 21:09:32\n",
            "Logistic Regression trained at: 21:09:40\n",
            "Logistic Regression predicted at: 21:09:40\n",
            "Logistic Regression Accuracy: 0.28888888888888886\n",
            "\n",
            "\n",
            "Running feature 10:rasm_LDS\n",
            "Running fold 0\n",
            "SVM started at: 21:09:41\n",
            "SVM trained at: 21:10:10\n",
            "SVM predicted at: 21:10:22\n",
            "SVM Accuracy: 0.7111111111111111\n",
            "K-Nearest Neighbors started at: 21:10:22\n",
            "K-Nearest Neighbors trained at: 21:10:22\n",
            "K-Nearest Neighbors predicted at: 21:10:23\n",
            "K-Nearest Neighbors Accuracy: 0.6666666666666666\n",
            "Logistic Regression started at: 21:10:23\n",
            "Logistic Regression trained at: 21:11:06\n",
            "Logistic Regression predicted at: 21:11:06\n",
            "Logistic Regression Accuracy: 0.6814814814814815\n",
            "Running fold 1\n",
            "SVM started at: 21:11:06\n",
            "SVM trained at: 21:11:37\n",
            "SVM predicted at: 21:11:46\n",
            "SVM Accuracy: 0.7407407407407407\n",
            "K-Nearest Neighbors started at: 21:11:46\n",
            "K-Nearest Neighbors trained at: 21:11:46\n",
            "K-Nearest Neighbors predicted at: 21:11:47\n",
            "K-Nearest Neighbors Accuracy: 0.7037037037037037\n",
            "Logistic Regression started at: 21:11:47\n",
            "Logistic Regression trained at: 21:12:32\n",
            "Logistic Regression predicted at: 21:12:32\n",
            "Logistic Regression Accuracy: 0.6888888888888889\n",
            "Running fold 2\n",
            "SVM started at: 21:12:33\n",
            "SVM trained at: 21:13:09\n",
            "SVM predicted at: 21:13:22\n",
            "SVM Accuracy: 0.762962962962963\n",
            "K-Nearest Neighbors started at: 21:13:22\n",
            "K-Nearest Neighbors trained at: 21:13:22\n",
            "K-Nearest Neighbors predicted at: 21:13:23\n",
            "K-Nearest Neighbors Accuracy: 0.6814814814814815\n",
            "Logistic Regression started at: 21:13:23\n",
            "Logistic Regression trained at: 21:14:05\n",
            "Logistic Regression predicted at: 21:14:05\n",
            "Logistic Regression Accuracy: 0.7333333333333333\n",
            "Running fold 3\n",
            "SVM started at: 21:14:06\n",
            "SVM trained at: 21:14:34\n",
            "SVM predicted at: 21:14:45\n",
            "SVM Accuracy: 0.725925925925926\n",
            "K-Nearest Neighbors started at: 21:14:45\n",
            "K-Nearest Neighbors trained at: 21:14:45\n",
            "K-Nearest Neighbors predicted at: 21:14:45\n",
            "K-Nearest Neighbors Accuracy: 0.6518518518518519\n",
            "Logistic Regression started at: 21:14:46\n",
            "Logistic Regression trained at: 21:15:28\n",
            "Logistic Regression predicted at: 21:15:28\n",
            "Logistic Regression Accuracy: 0.6962962962962963\n",
            "Running fold 4\n",
            "SVM started at: 21:15:29\n",
            "SVM trained at: 21:15:57\n",
            "SVM predicted at: 21:16:07\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 21:16:07\n",
            "K-Nearest Neighbors trained at: 21:16:07\n",
            "K-Nearest Neighbors predicted at: 21:16:08\n",
            "K-Nearest Neighbors Accuracy: 0.6518518518518519\n",
            "Logistic Regression started at: 21:16:08\n",
            "Logistic Regression trained at: 21:16:50\n",
            "Logistic Regression predicted at: 21:16:50\n",
            "Logistic Regression Accuracy: 0.6222222222222222\n",
            "\n",
            "\n",
            "Running feature 11:rasm_movingAve\n",
            "Running fold 0\n",
            "SVM started at: 21:16:51\n",
            "SVM trained at: 21:17:21\n",
            "SVM predicted at: 21:17:30\n",
            "SVM Accuracy: 0.7111111111111111\n",
            "K-Nearest Neighbors started at: 21:17:30\n",
            "K-Nearest Neighbors trained at: 21:17:30\n",
            "K-Nearest Neighbors predicted at: 21:17:31\n",
            "K-Nearest Neighbors Accuracy: 0.6370370370370371\n",
            "Logistic Regression started at: 21:17:31\n",
            "Logistic Regression trained at: 21:18:16\n",
            "Logistic Regression predicted at: 21:18:16\n",
            "Logistic Regression Accuracy: 0.7851851851851852\n",
            "Running fold 1\n",
            "SVM started at: 21:18:17\n",
            "SVM trained at: 21:18:46\n",
            "SVM predicted at: 21:18:58\n",
            "SVM Accuracy: 0.7407407407407407\n",
            "K-Nearest Neighbors started at: 21:18:58\n",
            "K-Nearest Neighbors trained at: 21:18:58\n",
            "K-Nearest Neighbors predicted at: 21:18:59\n",
            "K-Nearest Neighbors Accuracy: 0.7407407407407407\n",
            "Logistic Regression started at: 21:18:59\n",
            "Logistic Regression trained at: 21:19:41\n",
            "Logistic Regression predicted at: 21:19:41\n",
            "Logistic Regression Accuracy: 0.7703703703703704\n",
            "Running fold 2\n",
            "SVM started at: 21:19:42\n",
            "SVM trained at: 21:20:10\n",
            "SVM predicted at: 21:20:22\n",
            "SVM Accuracy: 0.762962962962963\n",
            "K-Nearest Neighbors started at: 21:20:22\n",
            "K-Nearest Neighbors trained at: 21:20:22\n",
            "K-Nearest Neighbors predicted at: 21:20:23\n",
            "K-Nearest Neighbors Accuracy: 0.7111111111111111\n",
            "Logistic Regression started at: 21:20:23\n",
            "Logistic Regression trained at: 21:21:04\n",
            "Logistic Regression predicted at: 21:21:04\n",
            "Logistic Regression Accuracy: 0.7777777777777778\n",
            "Running fold 3\n",
            "SVM started at: 21:21:05\n",
            "SVM trained at: 21:21:33\n",
            "SVM predicted at: 21:21:44\n",
            "SVM Accuracy: 0.725925925925926\n",
            "K-Nearest Neighbors started at: 21:21:45\n",
            "K-Nearest Neighbors trained at: 21:21:45\n",
            "K-Nearest Neighbors predicted at: 21:21:45\n",
            "K-Nearest Neighbors Accuracy: 0.6888888888888889\n",
            "Logistic Regression started at: 21:21:45\n",
            "Logistic Regression trained at: 21:22:28\n",
            "Logistic Regression predicted at: 21:22:28\n",
            "Logistic Regression Accuracy: 0.7111111111111111\n",
            "Running fold 4\n",
            "SVM started at: 21:22:28\n",
            "SVM trained at: 21:23:02\n",
            "SVM predicted at: 21:23:11\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 21:23:11\n",
            "K-Nearest Neighbors trained at: 21:23:11\n",
            "K-Nearest Neighbors predicted at: 21:23:12\n",
            "K-Nearest Neighbors Accuracy: 0.6296296296296297\n",
            "Logistic Regression started at: 21:23:12\n",
            "Logistic Regression trained at: 21:23:55\n",
            "Logistic Regression predicted at: 21:23:55\n",
            "Logistic Regression Accuracy: 0.674074074074074\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# All Subjects, 3 Subjects Aside, Each Feature"
      ],
      "metadata": {
        "id": "OzOYICJK77wX"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "results_dict =dict([(i,{\n",
        " \"SVM\": [],\n",
        "    \"K-Nearest Neighbors\": [],\n",
        "    \"Logistic Regression\": []\n",
        "}) for i in features_map ])\n",
        "\n",
        "all_index = [i for i in range(15)]\n",
        "kf = KFold(n_splits=5, shuffle=False)\n",
        "\n",
        "for f in range(len(features_map)):\n",
        "  print(f\"\\n\\nRunning feature {f}:{features_map[f]}\")\n",
        "  for fold, (train_index, test_index) in enumerate(kf.split(all_index)):\n",
        "    print(f\"Running fold {fold}\")\n",
        "    train_indices = np.array([list(range(i*45, (i+1)*45)) for i in train_index ]).flatten()\n",
        "    test_indices = np.array([list(range(i*45, (i+1)*45)) for i in test_index ]).flatten()\n",
        "\n",
        "    train_data = data[train_indices,f,:,:,:].reshape(len(train_indices),-1)\n",
        "    test_data = data[test_indices,f,:,:,:].reshape(len(test_indices),-1)\n",
        "\n",
        "    train_labels = labels_edited[train_indices]\n",
        "    test_labels = labels_edited[test_indices]\n",
        "\n",
        "    classifiers = {\n",
        "      \"SVM\": SVC(),\n",
        "      \"K-Nearest Neighbors\": KNeighborsClassifier(),\n",
        "      \"Logistic Regression\": LogisticRegression()\n",
        "    }\n",
        "\n",
        "    for name, clf in classifiers.items():\n",
        "        print(f\"{name} started at: {datetime.now().strftime('%H:%M:%S')}\")\n",
        "        clf.fit(train_data, train_labels)\n",
        "        print(f\"{name} trained at: {datetime.now().strftime('%H:%M:%S')}\")\n",
        "        predictions = clf.predict(test_data)\n",
        "        print(f\"{name} predicted at: {datetime.now().strftime('%H:%M:%S')}\")\n",
        "        accuracy = accuracy_score(test_labels, predictions)\n",
        "        print(f\"{name} Accuracy: {accuracy}\")\n",
        "        if results_dict[f][name]:\n",
        "           results_dict[f][name].append(accuracy)\n",
        "        else:\n",
        "           results_dict[f][name] = [accuracy]\n",
        "\n",
        "        del clf\n",
        "        del predictions\n",
        "        gc.collect()\n",
        "\n",
        "\n",
        "df = pd.DataFrame(results_dict)\n",
        "df.to_csv(os.path.join(base_path, 'final-allsubj-5fold-3subjaside-eachfeatures.csv'))"
      ],
      "metadata": {
        "id": "dOlenoWJ8IBu",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "6eafc4b1-d46c-4e92-bb32-421cad137da0"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n",
            "Running feature 0:asm_LDS\n",
            "Running fold 0\n",
            "SVM started at: 21:27:32\n",
            "SVM trained at: 21:28:17\n",
            "SVM predicted at: 21:28:29\n",
            "SVM Accuracy: 0.5407407407407407\n",
            "K-Nearest Neighbors started at: 21:28:29\n",
            "K-Nearest Neighbors trained at: 21:28:29\n",
            "K-Nearest Neighbors predicted at: 21:28:30\n",
            "K-Nearest Neighbors Accuracy: 0.48148148148148145\n",
            "Logistic Regression started at: 21:28:30\n",
            "Logistic Regression trained at: 21:29:09\n",
            "Logistic Regression predicted at: 21:29:09\n",
            "Logistic Regression Accuracy: 0.6888888888888889\n",
            "Running fold 1\n",
            "SVM started at: 21:29:09\n",
            "SVM trained at: 21:29:47\n",
            "SVM predicted at: 21:29:59\n",
            "SVM Accuracy: 0.6148148148148148\n",
            "K-Nearest Neighbors started at: 21:29:59\n",
            "K-Nearest Neighbors trained at: 21:29:59\n",
            "K-Nearest Neighbors predicted at: 21:30:00\n",
            "K-Nearest Neighbors Accuracy: 0.5481481481481482\n",
            "Logistic Regression started at: 21:30:00\n",
            "Logistic Regression trained at: 21:30:40\n",
            "Logistic Regression predicted at: 21:30:40\n",
            "Logistic Regression Accuracy: 0.6814814814814815\n",
            "Running fold 2\n",
            "SVM started at: 21:30:41\n",
            "SVM trained at: 21:31:18\n",
            "SVM predicted at: 21:31:30\n",
            "SVM Accuracy: 0.5555555555555556\n",
            "K-Nearest Neighbors started at: 21:31:30\n",
            "K-Nearest Neighbors trained at: 21:31:30\n",
            "K-Nearest Neighbors predicted at: 21:31:31\n",
            "K-Nearest Neighbors Accuracy: 0.4888888888888889\n",
            "Logistic Regression started at: 21:31:31\n",
            "Logistic Regression trained at: 21:32:10\n",
            "Logistic Regression predicted at: 21:32:10\n",
            "Logistic Regression Accuracy: 0.7333333333333333\n",
            "Running fold 3\n",
            "SVM started at: 21:32:10\n",
            "SVM trained at: 21:32:46\n",
            "SVM predicted at: 21:32:58\n",
            "SVM Accuracy: 0.5555555555555556\n",
            "K-Nearest Neighbors started at: 21:32:59\n",
            "K-Nearest Neighbors trained at: 21:32:59\n",
            "K-Nearest Neighbors predicted at: 21:33:00\n",
            "K-Nearest Neighbors Accuracy: 0.45185185185185184\n",
            "Logistic Regression started at: 21:33:00\n",
            "Logistic Regression trained at: 21:33:42\n",
            "Logistic Regression predicted at: 21:33:42\n",
            "Logistic Regression Accuracy: 0.5777777777777777\n",
            "Running fold 4\n",
            "SVM started at: 21:33:43\n",
            "SVM trained at: 21:34:20\n",
            "SVM predicted at: 21:34:35\n",
            "SVM Accuracy: 0.5407407407407407\n",
            "K-Nearest Neighbors started at: 21:34:35\n",
            "K-Nearest Neighbors trained at: 21:34:35\n",
            "K-Nearest Neighbors predicted at: 21:34:36\n",
            "K-Nearest Neighbors Accuracy: 0.45185185185185184\n",
            "Logistic Regression started at: 21:34:36\n",
            "Logistic Regression trained at: 21:35:14\n",
            "Logistic Regression predicted at: 21:35:14\n",
            "Logistic Regression Accuracy: 0.674074074074074\n",
            "\n",
            "\n",
            "Running feature 1:asm_movingAve\n",
            "Running fold 0\n",
            "SVM started at: 21:35:15\n",
            "SVM trained at: 21:35:52\n",
            "SVM predicted at: 21:36:06\n",
            "SVM Accuracy: 0.5481481481481482\n",
            "K-Nearest Neighbors started at: 21:36:06\n",
            "K-Nearest Neighbors trained at: 21:36:06\n",
            "K-Nearest Neighbors predicted at: 21:36:06\n",
            "K-Nearest Neighbors Accuracy: 0.43703703703703706\n",
            "Logistic Regression started at: 21:36:07\n",
            "Logistic Regression trained at: 21:36:44\n",
            "Logistic Regression predicted at: 21:36:44\n",
            "Logistic Regression Accuracy: 0.6962962962962963\n",
            "Running fold 1\n",
            "SVM started at: 21:36:44\n",
            "SVM trained at: 21:37:20\n",
            "SVM predicted at: 21:37:35\n",
            "SVM Accuracy: 0.5703703703703704\n",
            "K-Nearest Neighbors started at: 21:37:35\n",
            "K-Nearest Neighbors trained at: 21:37:35\n",
            "K-Nearest Neighbors predicted at: 21:37:36\n",
            "K-Nearest Neighbors Accuracy: 0.4444444444444444\n",
            "Logistic Regression started at: 21:37:36\n",
            "Logistic Regression trained at: 21:38:14\n",
            "Logistic Regression predicted at: 21:38:14\n",
            "Logistic Regression Accuracy: 0.6666666666666666\n",
            "Running fold 2\n",
            "SVM started at: 21:38:15\n",
            "SVM trained at: 21:38:52\n",
            "SVM predicted at: 21:39:07\n",
            "SVM Accuracy: 0.5851851851851851\n",
            "K-Nearest Neighbors started at: 21:39:07\n",
            "K-Nearest Neighbors trained at: 21:39:07\n",
            "K-Nearest Neighbors predicted at: 21:39:08\n",
            "K-Nearest Neighbors Accuracy: 0.4740740740740741\n",
            "Logistic Regression started at: 21:39:08\n",
            "Logistic Regression trained at: 21:39:45\n",
            "Logistic Regression predicted at: 21:39:45\n",
            "Logistic Regression Accuracy: 0.6814814814814815\n",
            "Running fold 3\n",
            "SVM started at: 21:39:45\n",
            "SVM trained at: 21:40:22\n",
            "SVM predicted at: 21:40:35\n",
            "SVM Accuracy: 0.5555555555555556\n",
            "K-Nearest Neighbors started at: 21:40:35\n",
            "K-Nearest Neighbors trained at: 21:40:35\n",
            "K-Nearest Neighbors predicted at: 21:40:36\n",
            "K-Nearest Neighbors Accuracy: 0.4074074074074074\n",
            "Logistic Regression started at: 21:40:36\n",
            "Logistic Regression trained at: 21:41:12\n",
            "Logistic Regression predicted at: 21:41:13\n",
            "Logistic Regression Accuracy: 0.6444444444444445\n",
            "Running fold 4\n",
            "SVM started at: 21:41:13\n",
            "SVM trained at: 21:41:50\n",
            "SVM predicted at: 21:42:05\n",
            "SVM Accuracy: 0.5407407407407407\n",
            "K-Nearest Neighbors started at: 21:42:05\n",
            "K-Nearest Neighbors trained at: 21:42:05\n",
            "K-Nearest Neighbors predicted at: 21:42:05\n",
            "K-Nearest Neighbors Accuracy: 0.3851851851851852\n",
            "Logistic Regression started at: 21:42:06\n",
            "Logistic Regression trained at: 21:42:41\n",
            "Logistic Regression predicted at: 21:42:41\n",
            "Logistic Regression Accuracy: 0.6814814814814815\n",
            "\n",
            "\n",
            "Running feature 2:dasm_LDS\n",
            "Running fold 0\n",
            "SVM started at: 21:42:42\n",
            "SVM trained at: 21:43:23\n",
            "SVM predicted at: 21:43:35\n",
            "SVM Accuracy: 0.37037037037037035\n",
            "K-Nearest Neighbors started at: 21:43:35\n",
            "K-Nearest Neighbors trained at: 21:43:35\n",
            "K-Nearest Neighbors predicted at: 21:43:36\n",
            "K-Nearest Neighbors Accuracy: 0.3851851851851852\n",
            "Logistic Regression started at: 21:43:36\n",
            "Logistic Regression trained at: 21:44:13\n",
            "Logistic Regression predicted at: 21:44:13\n",
            "Logistic Regression Accuracy: 0.5777777777777777\n",
            "Running fold 1\n",
            "SVM started at: 21:44:14\n",
            "SVM trained at: 21:44:50\n",
            "SVM predicted at: 21:45:04\n",
            "SVM Accuracy: 0.42962962962962964\n",
            "K-Nearest Neighbors started at: 21:45:04\n",
            "K-Nearest Neighbors trained at: 21:45:04\n",
            "K-Nearest Neighbors predicted at: 21:45:04\n",
            "K-Nearest Neighbors Accuracy: 0.4\n",
            "Logistic Regression started at: 21:45:05\n",
            "Logistic Regression trained at: 21:45:42\n",
            "Logistic Regression predicted at: 21:45:42\n",
            "Logistic Regression Accuracy: 0.5037037037037037\n",
            "Running fold 2\n",
            "SVM started at: 21:45:42\n",
            "SVM trained at: 21:46:17\n",
            "SVM predicted at: 21:46:32\n",
            "SVM Accuracy: 0.4\n",
            "K-Nearest Neighbors started at: 21:46:32\n",
            "K-Nearest Neighbors trained at: 21:46:32\n",
            "K-Nearest Neighbors predicted at: 21:46:32\n",
            "K-Nearest Neighbors Accuracy: 0.42962962962962964\n",
            "Logistic Regression started at: 21:46:33\n",
            "Logistic Regression trained at: 21:47:10\n",
            "Logistic Regression predicted at: 21:47:10\n",
            "Logistic Regression Accuracy: 0.5851851851851851\n",
            "Running fold 3\n",
            "SVM started at: 21:47:10\n",
            "SVM trained at: 21:47:48\n",
            "SVM predicted at: 21:48:02\n",
            "SVM Accuracy: 0.35555555555555557\n",
            "K-Nearest Neighbors started at: 21:48:02\n",
            "K-Nearest Neighbors trained at: 21:48:02\n",
            "K-Nearest Neighbors predicted at: 21:48:03\n",
            "K-Nearest Neighbors Accuracy: 0.34814814814814815\n",
            "Logistic Regression started at: 21:48:03\n",
            "Logistic Regression trained at: 21:48:38\n",
            "Logistic Regression predicted at: 21:48:38\n",
            "Logistic Regression Accuracy: 0.34814814814814815\n",
            "Running fold 4\n",
            "SVM started at: 21:48:39\n",
            "SVM trained at: 21:49:15\n",
            "SVM predicted at: 21:49:28\n",
            "SVM Accuracy: 0.37777777777777777\n",
            "K-Nearest Neighbors started at: 21:49:29\n",
            "K-Nearest Neighbors trained at: 21:49:29\n",
            "K-Nearest Neighbors predicted at: 21:49:29\n",
            "K-Nearest Neighbors Accuracy: 0.37777777777777777\n",
            "Logistic Regression started at: 21:49:29\n",
            "Logistic Regression trained at: 21:50:07\n",
            "Logistic Regression predicted at: 21:50:07\n",
            "Logistic Regression Accuracy: 0.5555555555555556\n",
            "\n",
            "\n",
            "Running feature 3:dasm_movingAve\n",
            "Running fold 0\n",
            "SVM started at: 21:50:08\n",
            "SVM trained at: 21:50:45\n",
            "SVM predicted at: 21:51:00\n",
            "SVM Accuracy: 0.4\n",
            "K-Nearest Neighbors started at: 21:51:00\n",
            "K-Nearest Neighbors trained at: 21:51:00\n",
            "K-Nearest Neighbors predicted at: 21:51:01\n",
            "K-Nearest Neighbors Accuracy: 0.4148148148148148\n",
            "Logistic Regression started at: 21:51:01\n",
            "Logistic Regression trained at: 21:51:38\n",
            "Logistic Regression predicted at: 21:51:38\n",
            "Logistic Regression Accuracy: 0.4962962962962963\n",
            "Running fold 1\n",
            "SVM started at: 21:51:39\n",
            "SVM trained at: 21:52:16\n",
            "SVM predicted at: 21:52:27\n",
            "SVM Accuracy: 0.42962962962962964\n",
            "K-Nearest Neighbors started at: 21:52:27\n",
            "K-Nearest Neighbors trained at: 21:52:28\n",
            "K-Nearest Neighbors predicted at: 21:52:29\n",
            "K-Nearest Neighbors Accuracy: 0.35555555555555557\n",
            "Logistic Regression started at: 21:52:29\n",
            "Logistic Regression trained at: 21:53:07\n",
            "Logistic Regression predicted at: 21:53:07\n",
            "Logistic Regression Accuracy: 0.48148148148148145\n",
            "Running fold 2\n",
            "SVM started at: 21:53:08\n",
            "SVM trained at: 21:53:44\n",
            "SVM predicted at: 21:53:58\n",
            "SVM Accuracy: 0.4\n",
            "K-Nearest Neighbors started at: 21:53:58\n",
            "K-Nearest Neighbors trained at: 21:53:58\n",
            "K-Nearest Neighbors predicted at: 21:53:59\n",
            "K-Nearest Neighbors Accuracy: 0.37037037037037035\n",
            "Logistic Regression started at: 21:53:59\n",
            "Logistic Regression trained at: 21:54:36\n",
            "Logistic Regression predicted at: 21:54:36\n",
            "Logistic Regression Accuracy: 0.5333333333333333\n",
            "Running fold 3\n",
            "SVM started at: 21:54:36\n",
            "SVM trained at: 21:55:16\n",
            "SVM predicted at: 21:55:30\n",
            "SVM Accuracy: 0.3925925925925926\n",
            "K-Nearest Neighbors started at: 21:55:30\n",
            "K-Nearest Neighbors trained at: 21:55:30\n",
            "K-Nearest Neighbors predicted at: 21:55:31\n",
            "K-Nearest Neighbors Accuracy: 0.3851851851851852\n",
            "Logistic Regression started at: 21:55:31\n",
            "Logistic Regression trained at: 21:56:08\n",
            "Logistic Regression predicted at: 21:56:08\n",
            "Logistic Regression Accuracy: 0.4\n",
            "Running fold 4\n",
            "SVM started at: 21:56:08\n",
            "SVM trained at: 21:56:47\n",
            "SVM predicted at: 21:57:00\n",
            "SVM Accuracy: 0.3851851851851852\n",
            "K-Nearest Neighbors started at: 21:57:00\n",
            "K-Nearest Neighbors trained at: 21:57:00\n",
            "K-Nearest Neighbors predicted at: 21:57:00\n",
            "K-Nearest Neighbors Accuracy: 0.37037037037037035\n",
            "Logistic Regression started at: 21:57:00\n",
            "Logistic Regression trained at: 21:57:39\n",
            "Logistic Regression predicted at: 21:57:39\n",
            "Logistic Regression Accuracy: 0.5111111111111111\n",
            "\n",
            "\n",
            "Running feature 4:dcau_LDS\n",
            "Running fold 0\n",
            "SVM started at: 21:57:39\n",
            "SVM trained at: 21:58:12\n",
            "SVM predicted at: 21:58:23\n",
            "SVM Accuracy: 0.5851851851851851\n",
            "K-Nearest Neighbors started at: 21:58:23\n",
            "K-Nearest Neighbors trained at: 21:58:23\n",
            "K-Nearest Neighbors predicted at: 21:58:24\n",
            "K-Nearest Neighbors Accuracy: 0.4444444444444444\n",
            "Logistic Regression started at: 21:58:24\n",
            "Logistic Regression trained at: 21:59:02\n",
            "Logistic Regression predicted at: 21:59:02\n",
            "Logistic Regression Accuracy: 0.6962962962962963\n",
            "Running fold 1\n",
            "SVM started at: 21:59:02\n",
            "SVM trained at: 21:59:37\n",
            "SVM predicted at: 21:59:50\n",
            "SVM Accuracy: 0.5925925925925926\n",
            "K-Nearest Neighbors started at: 21:59:51\n",
            "K-Nearest Neighbors trained at: 21:59:51\n",
            "K-Nearest Neighbors predicted at: 21:59:51\n",
            "K-Nearest Neighbors Accuracy: 0.5333333333333333\n",
            "Logistic Regression started at: 21:59:52\n",
            "Logistic Regression trained at: 22:00:31\n",
            "Logistic Regression predicted at: 22:00:31\n",
            "Logistic Regression Accuracy: 0.7481481481481481\n",
            "Running fold 2\n",
            "SVM started at: 22:00:31\n",
            "SVM trained at: 22:01:08\n",
            "SVM predicted at: 22:01:18\n",
            "SVM Accuracy: 0.6296296296296297\n",
            "K-Nearest Neighbors started at: 22:01:18\n",
            "K-Nearest Neighbors trained at: 22:01:18\n",
            "K-Nearest Neighbors predicted at: 22:01:19\n",
            "K-Nearest Neighbors Accuracy: 0.4888888888888889\n",
            "Logistic Regression started at: 22:01:19\n",
            "Logistic Regression trained at: 22:01:58\n",
            "Logistic Regression predicted at: 22:01:58\n",
            "Logistic Regression Accuracy: 0.8\n",
            "Running fold 3\n",
            "SVM started at: 22:01:59\n",
            "SVM trained at: 22:02:30\n",
            "SVM predicted at: 22:02:42\n",
            "SVM Accuracy: 0.6592592592592592\n",
            "K-Nearest Neighbors started at: 22:02:42\n",
            "K-Nearest Neighbors trained at: 22:02:42\n",
            "K-Nearest Neighbors predicted at: 22:02:43\n",
            "K-Nearest Neighbors Accuracy: 0.5407407407407407\n",
            "Logistic Regression started at: 22:02:43\n",
            "Logistic Regression trained at: 22:03:18\n",
            "Logistic Regression predicted at: 22:03:19\n",
            "Logistic Regression Accuracy: 0.7851851851851852\n",
            "Running fold 4\n",
            "SVM started at: 22:03:19\n",
            "SVM trained at: 22:03:50\n",
            "SVM predicted at: 22:03:59\n",
            "SVM Accuracy: 0.562962962962963\n",
            "K-Nearest Neighbors started at: 22:03:59\n",
            "K-Nearest Neighbors trained at: 22:03:59\n",
            "K-Nearest Neighbors predicted at: 22:04:00\n",
            "K-Nearest Neighbors Accuracy: 0.4888888888888889\n",
            "Logistic Regression started at: 22:04:00\n",
            "Logistic Regression trained at: 22:04:37\n",
            "Logistic Regression predicted at: 22:04:37\n",
            "Logistic Regression Accuracy: 0.7851851851851852\n",
            "\n",
            "\n",
            "Running feature 5:dcau_movingAve\n",
            "Running fold 0\n",
            "SVM started at: 22:04:38\n",
            "SVM trained at: 22:05:12\n",
            "SVM predicted at: 22:05:25\n",
            "SVM Accuracy: 0.5925925925925926\n",
            "K-Nearest Neighbors started at: 22:05:25\n",
            "K-Nearest Neighbors trained at: 22:05:25\n",
            "K-Nearest Neighbors predicted at: 22:05:26\n",
            "K-Nearest Neighbors Accuracy: 0.4222222222222222\n",
            "Logistic Regression started at: 22:05:26\n",
            "Logistic Regression trained at: 22:06:02\n",
            "Logistic Regression predicted at: 22:06:02\n",
            "Logistic Regression Accuracy: 0.6296296296296297\n",
            "Running fold 1\n",
            "SVM started at: 22:06:03\n",
            "SVM trained at: 22:06:35\n",
            "SVM predicted at: 22:06:49\n",
            "SVM Accuracy: 0.6296296296296297\n",
            "K-Nearest Neighbors started at: 22:06:49\n",
            "K-Nearest Neighbors trained at: 22:06:49\n",
            "K-Nearest Neighbors predicted at: 22:06:50\n",
            "K-Nearest Neighbors Accuracy: 0.4666666666666667\n",
            "Logistic Regression started at: 22:06:50\n",
            "Logistic Regression trained at: 22:07:25\n",
            "Logistic Regression predicted at: 22:07:25\n",
            "Logistic Regression Accuracy: 0.725925925925926\n",
            "Running fold 2\n",
            "SVM started at: 22:07:26\n",
            "SVM trained at: 22:07:58\n",
            "SVM predicted at: 22:08:11\n",
            "SVM Accuracy: 0.6814814814814815\n",
            "K-Nearest Neighbors started at: 22:08:11\n",
            "K-Nearest Neighbors trained at: 22:08:11\n",
            "K-Nearest Neighbors predicted at: 22:08:12\n",
            "K-Nearest Neighbors Accuracy: 0.4444444444444444\n",
            "Logistic Regression started at: 22:08:12\n",
            "Logistic Regression trained at: 22:08:47\n",
            "Logistic Regression predicted at: 22:08:47\n",
            "Logistic Regression Accuracy: 0.8296296296296296\n",
            "Running fold 3\n",
            "SVM started at: 22:08:47\n",
            "SVM trained at: 22:09:19\n",
            "SVM predicted at: 22:09:32\n",
            "SVM Accuracy: 0.6888888888888889\n",
            "K-Nearest Neighbors started at: 22:09:32\n",
            "K-Nearest Neighbors trained at: 22:09:32\n",
            "K-Nearest Neighbors predicted at: 22:09:33\n",
            "K-Nearest Neighbors Accuracy: 0.5851851851851851\n",
            "Logistic Regression started at: 22:09:33\n",
            "Logistic Regression trained at: 22:10:08\n",
            "Logistic Regression predicted at: 22:10:08\n",
            "Logistic Regression Accuracy: 0.8444444444444444\n",
            "Running fold 4\n",
            "SVM started at: 22:10:08\n",
            "SVM trained at: 22:10:41\n",
            "SVM predicted at: 22:10:53\n",
            "SVM Accuracy: 0.5851851851851851\n",
            "K-Nearest Neighbors started at: 22:10:53\n",
            "K-Nearest Neighbors trained at: 22:10:53\n",
            "K-Nearest Neighbors predicted at: 22:10:54\n",
            "K-Nearest Neighbors Accuracy: 0.4740740740740741\n",
            "Logistic Regression started at: 22:10:54\n",
            "Logistic Regression trained at: 22:11:30\n",
            "Logistic Regression predicted at: 22:11:30\n",
            "Logistic Regression Accuracy: 0.762962962962963\n",
            "\n",
            "\n",
            "Running feature 6:de_LDS\n",
            "Running fold 0\n",
            "SVM started at: 22:11:31\n",
            "SVM trained at: 22:11:48\n",
            "SVM predicted at: 22:11:56\n",
            "SVM Accuracy: 0.7925925925925926\n",
            "K-Nearest Neighbors started at: 22:11:56\n",
            "K-Nearest Neighbors trained at: 22:11:56\n",
            "K-Nearest Neighbors predicted at: 22:11:56\n",
            "K-Nearest Neighbors Accuracy: 0.7703703703703704\n",
            "Logistic Regression started at: 22:11:56\n",
            "Logistic Regression trained at: 22:12:34\n",
            "Logistic Regression predicted at: 22:12:34\n",
            "Logistic Regression Accuracy: 0.8\n",
            "Running fold 1\n",
            "SVM started at: 22:12:35\n",
            "SVM trained at: 22:12:56\n",
            "SVM predicted at: 22:13:04\n",
            "SVM Accuracy: 0.7407407407407407\n",
            "K-Nearest Neighbors started at: 22:13:04\n",
            "K-Nearest Neighbors trained at: 22:13:04\n",
            "K-Nearest Neighbors predicted at: 22:13:05\n",
            "K-Nearest Neighbors Accuracy: 0.8222222222222222\n",
            "Logistic Regression started at: 22:13:05\n",
            "Logistic Regression trained at: 22:13:47\n",
            "Logistic Regression predicted at: 22:13:47\n",
            "Logistic Regression Accuracy: 0.7777777777777778\n",
            "Running fold 2\n",
            "SVM started at: 22:13:47\n",
            "SVM trained at: 22:14:07\n",
            "SVM predicted at: 22:14:18\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 22:14:18\n",
            "K-Nearest Neighbors trained at: 22:14:18\n",
            "K-Nearest Neighbors predicted at: 22:14:19\n",
            "K-Nearest Neighbors Accuracy: 0.8592592592592593\n",
            "Logistic Regression started at: 22:14:19\n",
            "Logistic Regression trained at: 22:15:00\n",
            "Logistic Regression predicted at: 22:15:00\n",
            "Logistic Regression Accuracy: 0.8\n",
            "Running fold 3\n",
            "SVM started at: 22:15:01\n",
            "SVM trained at: 22:15:22\n",
            "SVM predicted at: 22:15:31\n",
            "SVM Accuracy: 0.7407407407407407\n",
            "K-Nearest Neighbors started at: 22:15:31\n",
            "K-Nearest Neighbors trained at: 22:15:31\n",
            "K-Nearest Neighbors predicted at: 22:15:32\n",
            "K-Nearest Neighbors Accuracy: 0.7925925925925926\n",
            "Logistic Regression started at: 22:15:32\n",
            "Logistic Regression trained at: 22:16:14\n",
            "Logistic Regression predicted at: 22:16:14\n",
            "Logistic Regression Accuracy: 0.8666666666666667\n",
            "Running fold 4\n",
            "SVM started at: 22:16:14\n",
            "SVM trained at: 22:16:34\n",
            "SVM predicted at: 22:16:44\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 22:16:44\n",
            "K-Nearest Neighbors trained at: 22:16:44\n",
            "K-Nearest Neighbors predicted at: 22:16:45\n",
            "K-Nearest Neighbors Accuracy: 0.762962962962963\n",
            "Logistic Regression started at: 22:16:45\n",
            "Logistic Regression trained at: 22:17:23\n",
            "Logistic Regression predicted at: 22:17:23\n",
            "Logistic Regression Accuracy: 0.8592592592592593\n",
            "\n",
            "\n",
            "Running feature 7:de_movingAve\n",
            "Running fold 0\n",
            "SVM started at: 22:17:24\n",
            "SVM trained at: 22:17:41\n",
            "SVM predicted at: 22:17:50\n",
            "SVM Accuracy: 0.8148148148148148\n",
            "K-Nearest Neighbors started at: 22:17:50\n",
            "K-Nearest Neighbors trained at: 22:17:50\n",
            "K-Nearest Neighbors predicted at: 22:17:50\n",
            "K-Nearest Neighbors Accuracy: 0.837037037037037\n",
            "Logistic Regression started at: 22:17:50\n",
            "Logistic Regression trained at: 22:18:30\n",
            "Logistic Regression predicted at: 22:18:30\n",
            "Logistic Regression Accuracy: 0.8518518518518519\n",
            "Running fold 1\n",
            "SVM started at: 22:18:31\n",
            "SVM trained at: 22:18:53\n",
            "SVM predicted at: 22:19:02\n",
            "SVM Accuracy: 0.7407407407407407\n",
            "K-Nearest Neighbors started at: 22:19:02\n",
            "K-Nearest Neighbors trained at: 22:19:02\n",
            "K-Nearest Neighbors predicted at: 22:19:03\n",
            "K-Nearest Neighbors Accuracy: 0.8296296296296296\n",
            "Logistic Regression started at: 22:19:03\n",
            "Logistic Regression trained at: 22:19:45\n",
            "Logistic Regression predicted at: 22:19:45\n",
            "Logistic Regression Accuracy: 0.8\n",
            "Running fold 2\n",
            "SVM started at: 22:19:45\n",
            "SVM trained at: 22:20:06\n",
            "SVM predicted at: 22:20:17\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 22:20:17\n",
            "K-Nearest Neighbors trained at: 22:20:17\n",
            "K-Nearest Neighbors predicted at: 22:20:18\n",
            "K-Nearest Neighbors Accuracy: 0.8518518518518519\n",
            "Logistic Regression started at: 22:20:18\n",
            "Logistic Regression trained at: 22:20:57\n",
            "Logistic Regression predicted at: 22:20:57\n",
            "Logistic Regression Accuracy: 0.837037037037037\n",
            "Running fold 3\n",
            "SVM started at: 22:20:58\n",
            "SVM trained at: 22:21:20\n",
            "SVM predicted at: 22:21:31\n",
            "SVM Accuracy: 0.7407407407407407\n",
            "K-Nearest Neighbors started at: 22:21:31\n",
            "K-Nearest Neighbors trained at: 22:21:31\n",
            "K-Nearest Neighbors predicted at: 22:21:32\n",
            "K-Nearest Neighbors Accuracy: 0.7925925925925926\n",
            "Logistic Regression started at: 22:21:32\n",
            "Logistic Regression trained at: 22:22:12\n",
            "Logistic Regression predicted at: 22:22:12\n",
            "Logistic Regression Accuracy: 0.9185185185185185\n",
            "Running fold 4\n",
            "SVM started at: 22:22:12\n",
            "SVM trained at: 22:22:34\n",
            "SVM predicted at: 22:22:44\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 22:22:44\n",
            "K-Nearest Neighbors trained at: 22:22:44\n",
            "K-Nearest Neighbors predicted at: 22:22:45\n",
            "K-Nearest Neighbors Accuracy: 0.7851851851851852\n",
            "Logistic Regression started at: 22:22:45\n",
            "Logistic Regression trained at: 22:23:28\n",
            "Logistic Regression predicted at: 22:23:28\n",
            "Logistic Regression Accuracy: 0.8814814814814815\n",
            "\n",
            "\n",
            "Running feature 8:psd_LDS\n",
            "Running fold 0\n",
            "SVM started at: 22:23:28\n",
            "SVM trained at: 22:24:07\n",
            "SVM predicted at: 22:24:22\n",
            "SVM Accuracy: 0.32592592592592595\n",
            "K-Nearest Neighbors started at: 22:24:23\n",
            "K-Nearest Neighbors trained at: 22:24:23\n",
            "K-Nearest Neighbors predicted at: 22:24:24\n",
            "K-Nearest Neighbors Accuracy: 0.4444444444444444\n",
            "Logistic Regression started at: 22:24:24\n",
            "Logistic Regression trained at: 22:24:32\n",
            "Logistic Regression predicted at: 22:24:32\n",
            "Logistic Regression Accuracy: 0.3333333333333333\n",
            "Running fold 1\n",
            "SVM started at: 22:24:32\n",
            "SVM trained at: 22:25:12\n",
            "SVM predicted at: 22:25:26\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 22:25:26\n",
            "K-Nearest Neighbors trained at: 22:25:26\n",
            "K-Nearest Neighbors predicted at: 22:25:27\n",
            "K-Nearest Neighbors Accuracy: 0.48148148148148145\n",
            "Logistic Regression started at: 22:25:27\n",
            "Logistic Regression trained at: 22:25:35\n",
            "Logistic Regression predicted at: 22:25:35\n",
            "Logistic Regression Accuracy: 0.3333333333333333\n",
            "Running fold 2\n",
            "SVM started at: 22:25:36\n",
            "SVM trained at: 22:26:14\n",
            "SVM predicted at: 22:26:29\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 22:26:29\n",
            "K-Nearest Neighbors trained at: 22:26:29\n",
            "K-Nearest Neighbors predicted at: 22:26:30\n",
            "K-Nearest Neighbors Accuracy: 0.4740740740740741\n",
            "Logistic Regression started at: 22:26:30\n",
            "Logistic Regression trained at: 22:26:37\n",
            "Logistic Regression predicted at: 22:26:37\n",
            "Logistic Regression Accuracy: 0.3333333333333333\n",
            "Running fold 3\n",
            "SVM started at: 22:26:38\n",
            "SVM trained at: 22:27:12\n",
            "SVM predicted at: 22:27:24\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 22:27:24\n",
            "K-Nearest Neighbors trained at: 22:27:24\n",
            "K-Nearest Neighbors predicted at: 22:27:25\n",
            "K-Nearest Neighbors Accuracy: 0.48148148148148145\n",
            "Logistic Regression started at: 22:27:25\n",
            "Logistic Regression trained at: 22:27:31\n",
            "Logistic Regression predicted at: 22:27:31\n",
            "Logistic Regression Accuracy: 0.3333333333333333\n",
            "Running fold 4\n",
            "SVM started at: 22:27:31\n",
            "SVM trained at: 22:28:05\n",
            "SVM predicted at: 22:28:18\n",
            "SVM Accuracy: 0.31851851851851853\n",
            "K-Nearest Neighbors started at: 22:28:19\n",
            "K-Nearest Neighbors trained at: 22:28:19\n",
            "K-Nearest Neighbors predicted at: 22:28:19\n",
            "K-Nearest Neighbors Accuracy: 0.4222222222222222\n",
            "Logistic Regression started at: 22:28:19\n",
            "Logistic Regression trained at: 22:28:26\n",
            "Logistic Regression predicted at: 22:28:26\n",
            "Logistic Regression Accuracy: 0.3333333333333333\n",
            "\n",
            "\n",
            "Running feature 9:psd_movingAve\n",
            "Running fold 0\n",
            "SVM started at: 22:28:27\n",
            "SVM trained at: 22:29:03\n",
            "SVM predicted at: 22:29:16\n",
            "SVM Accuracy: 0.31851851851851853\n",
            "K-Nearest Neighbors started at: 22:29:16\n",
            "K-Nearest Neighbors trained at: 22:29:16\n",
            "K-Nearest Neighbors predicted at: 22:29:17\n",
            "K-Nearest Neighbors Accuracy: 0.4740740740740741\n",
            "Logistic Regression started at: 22:29:17\n",
            "Logistic Regression trained at: 22:30:56\n",
            "Logistic Regression predicted at: 22:30:56\n",
            "Logistic Regression Accuracy: 0.5777777777777777\n",
            "Running fold 1\n",
            "SVM started at: 22:30:57\n",
            "SVM trained at: 22:31:34\n",
            "SVM predicted at: 22:31:48\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 22:31:48\n",
            "K-Nearest Neighbors trained at: 22:31:48\n",
            "K-Nearest Neighbors predicted at: 22:31:49\n",
            "K-Nearest Neighbors Accuracy: 0.4\n",
            "Logistic Regression started at: 22:31:49\n",
            "Logistic Regression trained at: 22:31:56\n",
            "Logistic Regression predicted at: 22:31:56\n",
            "Logistic Regression Accuracy: 0.3333333333333333\n",
            "Running fold 2\n",
            "SVM started at: 22:31:57\n",
            "SVM trained at: 22:32:33\n",
            "SVM predicted at: 22:32:46\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 22:32:46\n",
            "K-Nearest Neighbors trained at: 22:32:46\n",
            "K-Nearest Neighbors predicted at: 22:32:47\n",
            "K-Nearest Neighbors Accuracy: 0.4074074074074074\n",
            "Logistic Regression started at: 22:32:47\n",
            "Logistic Regression trained at: 22:32:53\n",
            "Logistic Regression predicted at: 22:32:53\n",
            "Logistic Regression Accuracy: 0.3333333333333333\n",
            "Running fold 3\n",
            "SVM started at: 22:32:54\n",
            "SVM trained at: 22:33:27\n",
            "SVM predicted at: 22:33:41\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 22:33:41\n",
            "K-Nearest Neighbors trained at: 22:33:41\n",
            "K-Nearest Neighbors predicted at: 22:33:42\n",
            "K-Nearest Neighbors Accuracy: 0.4666666666666667\n",
            "Logistic Regression started at: 22:33:42\n",
            "Logistic Regression trained at: 22:33:48\n",
            "Logistic Regression predicted at: 22:33:48\n",
            "Logistic Regression Accuracy: 0.3333333333333333\n",
            "Running fold 4\n",
            "SVM started at: 22:33:49\n",
            "SVM trained at: 22:34:24\n",
            "SVM predicted at: 22:34:34\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 22:34:34\n",
            "K-Nearest Neighbors trained at: 22:34:34\n",
            "K-Nearest Neighbors predicted at: 22:34:35\n",
            "K-Nearest Neighbors Accuracy: 0.4074074074074074\n",
            "Logistic Regression started at: 22:34:35\n",
            "Logistic Regression trained at: 22:34:42\n",
            "Logistic Regression predicted at: 22:34:42\n",
            "Logistic Regression Accuracy: 0.3333333333333333\n",
            "\n",
            "\n",
            "Running feature 10:rasm_LDS\n",
            "Running fold 0\n",
            "SVM started at: 22:34:43\n",
            "SVM trained at: 22:35:06\n",
            "SVM predicted at: 22:35:17\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 22:35:18\n",
            "K-Nearest Neighbors trained at: 22:35:18\n",
            "K-Nearest Neighbors predicted at: 22:35:18\n",
            "K-Nearest Neighbors Accuracy: 0.7407407407407407\n",
            "Logistic Regression started at: 22:35:18\n",
            "Logistic Regression trained at: 22:35:53\n",
            "Logistic Regression predicted at: 22:35:53\n",
            "Logistic Regression Accuracy: 0.7111111111111111\n",
            "Running fold 1\n",
            "SVM started at: 22:35:54\n",
            "SVM trained at: 22:36:19\n",
            "SVM predicted at: 22:36:28\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 22:36:28\n",
            "K-Nearest Neighbors trained at: 22:36:28\n",
            "K-Nearest Neighbors predicted at: 22:36:29\n",
            "K-Nearest Neighbors Accuracy: 0.674074074074074\n",
            "Logistic Regression started at: 22:36:29\n",
            "Logistic Regression trained at: 22:37:08\n",
            "Logistic Regression predicted at: 22:37:08\n",
            "Logistic Regression Accuracy: 0.7407407407407407\n",
            "Running fold 2\n",
            "SVM started at: 22:37:09\n",
            "SVM trained at: 22:37:34\n",
            "SVM predicted at: 22:37:44\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 22:37:44\n",
            "K-Nearest Neighbors trained at: 22:37:44\n",
            "K-Nearest Neighbors predicted at: 22:37:44\n",
            "K-Nearest Neighbors Accuracy: 0.7481481481481481\n",
            "Logistic Regression started at: 22:37:44\n",
            "Logistic Regression trained at: 22:38:23\n",
            "Logistic Regression predicted at: 22:38:23\n",
            "Logistic Regression Accuracy: 0.725925925925926\n",
            "Running fold 3\n",
            "SVM started at: 22:38:23\n",
            "SVM trained at: 22:38:47\n",
            "SVM predicted at: 22:38:59\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 22:38:59\n",
            "K-Nearest Neighbors trained at: 22:38:59\n",
            "K-Nearest Neighbors predicted at: 22:39:00\n",
            "K-Nearest Neighbors Accuracy: 0.674074074074074\n",
            "Logistic Regression started at: 22:39:00\n",
            "Logistic Regression trained at: 22:39:40\n",
            "Logistic Regression predicted at: 22:39:40\n",
            "Logistic Regression Accuracy: 0.725925925925926\n",
            "Running fold 4\n",
            "SVM started at: 22:39:40\n",
            "SVM trained at: 22:40:09\n",
            "SVM predicted at: 22:40:22\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 22:40:22\n",
            "K-Nearest Neighbors trained at: 22:40:22\n",
            "K-Nearest Neighbors predicted at: 22:40:23\n",
            "K-Nearest Neighbors Accuracy: 0.7407407407407407\n",
            "Logistic Regression started at: 22:40:23\n",
            "Logistic Regression trained at: 22:41:02\n",
            "Logistic Regression predicted at: 22:41:02\n",
            "Logistic Regression Accuracy: 0.7407407407407407\n",
            "\n",
            "\n",
            "Running feature 11:rasm_movingAve\n",
            "Running fold 0\n",
            "SVM started at: 22:41:03\n",
            "SVM trained at: 22:41:31\n",
            "SVM predicted at: 22:41:44\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 22:41:44\n",
            "K-Nearest Neighbors trained at: 22:41:44\n",
            "K-Nearest Neighbors predicted at: 22:41:45\n",
            "K-Nearest Neighbors Accuracy: 0.7407407407407407\n",
            "Logistic Regression started at: 22:41:45\n",
            "Logistic Regression trained at: 22:42:27\n",
            "Logistic Regression predicted at: 22:42:27\n",
            "Logistic Regression Accuracy: 0.7703703703703704\n",
            "Running fold 1\n",
            "SVM started at: 22:42:28\n",
            "SVM trained at: 22:42:58\n",
            "SVM predicted at: 22:43:07\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 22:43:08\n",
            "K-Nearest Neighbors trained at: 22:43:08\n",
            "K-Nearest Neighbors predicted at: 22:43:09\n",
            "K-Nearest Neighbors Accuracy: 0.6814814814814815\n",
            "Logistic Regression started at: 22:43:09\n",
            "Logistic Regression trained at: 22:43:51\n",
            "Logistic Regression predicted at: 22:43:51\n",
            "Logistic Regression Accuracy: 0.762962962962963\n",
            "Running fold 2\n",
            "SVM started at: 22:43:51\n",
            "SVM trained at: 22:44:19\n",
            "SVM predicted at: 22:44:29\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 22:44:29\n",
            "K-Nearest Neighbors trained at: 22:44:29\n",
            "K-Nearest Neighbors predicted at: 22:44:30\n",
            "K-Nearest Neighbors Accuracy: 0.762962962962963\n",
            "Logistic Regression started at: 22:44:30\n",
            "Logistic Regression trained at: 22:45:13\n",
            "Logistic Regression predicted at: 22:45:13\n",
            "Logistic Regression Accuracy: 0.7407407407407407\n",
            "Running fold 3\n",
            "SVM started at: 22:45:13\n",
            "SVM trained at: 22:45:42\n",
            "SVM predicted at: 22:45:51\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 22:45:51\n",
            "K-Nearest Neighbors trained at: 22:45:51\n",
            "K-Nearest Neighbors predicted at: 22:45:52\n",
            "K-Nearest Neighbors Accuracy: 0.7111111111111111\n",
            "Logistic Regression started at: 22:45:52\n",
            "Logistic Regression trained at: 22:46:34\n",
            "Logistic Regression predicted at: 22:46:35\n",
            "Logistic Regression Accuracy: 0.7333333333333333\n",
            "Running fold 4\n",
            "SVM started at: 22:46:35\n",
            "SVM trained at: 22:47:06\n",
            "SVM predicted at: 22:47:18\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 22:47:18\n",
            "K-Nearest Neighbors trained at: 22:47:18\n",
            "K-Nearest Neighbors predicted at: 22:47:19\n",
            "K-Nearest Neighbors Accuracy: 0.7481481481481481\n",
            "Logistic Regression started at: 22:47:19\n",
            "Logistic Regression trained at: 22:47:59\n",
            "Logistic Regression predicted at: 22:47:59\n",
            "Logistic Regression Accuracy: 0.7333333333333333\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# All Subjects, 3 Videos Aside, Each Feature"
      ],
      "metadata": {
        "id": "LuNCOEl28K0H"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "results_dict =dict([(i,{\n",
        " \"SVM\": [],\n",
        "    \"K-Nearest Neighbors\": [],\n",
        "    \"Logistic Regression\": []\n",
        "}) for i in features_map ])\n",
        "\n",
        "\n",
        "'''\n",
        "Handling 5-fold on videos:\n",
        "- Each time we selected 3 videos from each experiment. As we know, each experiment has 15 videos (trials) so\n",
        "- it will be like we applied 5 fold on videos. In this method we considered that by the original order\n",
        "- of the trials, each time we expect sad, happy, and neutral video for test.\n",
        "'''\n",
        "for k in range (5):\n",
        "  print(f\"\\n\\nRunning fold {fold}\")\n",
        "  test_index = []\n",
        "  all_index = [i for i in range (675)]\n",
        "  train_index=[]\n",
        "  for e in range(45):\n",
        "    test_index.extend(list(range(e*15 + 3*k,e*15 + 3*k + 3)))\n",
        "\n",
        "  train_index = list(set(all_index)-set(test_index))\n",
        "  for f in features_map:\n",
        "    print(f\"Running feature {f}:{features_map[f]}\")\n",
        "    train_data = data[train_index,f,:,:,:].reshape(len(train_index),-1)\n",
        "    test_data = data[test_index,f,:,:,:].reshape(len(test_index),-1)\n",
        "\n",
        "    train_labels = labels_edited[train_index]\n",
        "    test_labels = labels_edited[test_index]\n",
        "\n",
        "\n",
        "    classifiers = {\n",
        "      \"SVM\": SVC(),\n",
        "      \"K-Nearest Neighbors\": KNeighborsClassifier(),\n",
        "      \"Logistic Regression\": LogisticRegression()\n",
        "    }\n",
        "\n",
        "    for name, clf in classifiers.items():\n",
        "      print(f\"{name} started at: {datetime.now().strftime('%H:%M:%S')}\")\n",
        "      clf.fit(train_data, train_labels)\n",
        "      print(f\"{name} trained at: {datetime.now().strftime('%H:%M:%S')}\")\n",
        "      predictions = clf.predict(test_data)\n",
        "      print(f\"{name} predicted at: {datetime.now().strftime('%H:%M:%S')}\")\n",
        "      accuracy = accuracy_score(test_labels, predictions)\n",
        "      print(f\"{name} Accuracy: {accuracy}\")\n",
        "      if results_dict[f][name]:\n",
        "          results_dict[f][name].append(accuracy)\n",
        "      else:\n",
        "          results_dict[f][name] = [accuracy]\n",
        "\n",
        "      del clf\n",
        "      del predictions\n",
        "      gc.collect()\n",
        "\n",
        "\n",
        "df = pd.DataFrame(results_dict)\n",
        "df.to_csv(os.path.join(base_path, 'final-allsubj-5fold-3vidaside-eachfeatures.csv'))"
      ],
      "metadata": {
        "id": "ABXiQZX48Prj",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "ed5ce08f-a3d1-440e-e20f-534dc65e7656"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n",
            "Running fold 4\n",
            "Running feature 0:asm_LDS\n",
            "SVM started at: 22:48:00\n",
            "SVM trained at: 22:48:40\n",
            "SVM predicted at: 22:48:55\n",
            "SVM Accuracy: 0.2814814814814815\n",
            "K-Nearest Neighbors started at: 22:48:55\n",
            "K-Nearest Neighbors trained at: 22:48:55\n",
            "K-Nearest Neighbors predicted at: 22:48:56\n",
            "K-Nearest Neighbors Accuracy: 0.4074074074074074\n",
            "Logistic Regression started at: 22:48:56\n",
            "Logistic Regression trained at: 22:49:34\n",
            "Logistic Regression predicted at: 22:49:34\n",
            "Logistic Regression Accuracy: 0.4074074074074074\n",
            "Running feature 1:asm_movingAve\n",
            "SVM started at: 22:49:35\n",
            "SVM trained at: 22:50:15\n",
            "SVM predicted at: 22:50:29\n",
            "SVM Accuracy: 0.2074074074074074\n",
            "K-Nearest Neighbors started at: 22:50:30\n",
            "K-Nearest Neighbors trained at: 22:50:30\n",
            "K-Nearest Neighbors predicted at: 22:50:31\n",
            "K-Nearest Neighbors Accuracy: 0.35555555555555557\n",
            "Logistic Regression started at: 22:50:31\n",
            "Logistic Regression trained at: 22:51:11\n",
            "Logistic Regression predicted at: 22:51:11\n",
            "Logistic Regression Accuracy: 0.4074074074074074\n",
            "Running feature 2:dasm_LDS\n",
            "SVM started at: 22:51:11\n",
            "SVM trained at: 22:51:54\n",
            "SVM predicted at: 22:52:08\n",
            "SVM Accuracy: 0.37777777777777777\n",
            "K-Nearest Neighbors started at: 22:52:08\n",
            "K-Nearest Neighbors trained at: 22:52:08\n",
            "K-Nearest Neighbors predicted at: 22:52:09\n",
            "K-Nearest Neighbors Accuracy: 0.5185185185185185\n",
            "Logistic Regression started at: 22:52:10\n",
            "Logistic Regression trained at: 22:52:47\n",
            "Logistic Regression predicted at: 22:52:48\n",
            "Logistic Regression Accuracy: 0.4666666666666667\n",
            "Running feature 3:dasm_movingAve\n",
            "SVM started at: 22:52:48\n",
            "SVM trained at: 22:53:33\n",
            "SVM predicted at: 22:53:48\n",
            "SVM Accuracy: 0.37037037037037035\n",
            "K-Nearest Neighbors started at: 22:53:48\n",
            "K-Nearest Neighbors trained at: 22:53:48\n",
            "K-Nearest Neighbors predicted at: 22:53:49\n",
            "K-Nearest Neighbors Accuracy: 0.3851851851851852\n",
            "Logistic Regression started at: 22:53:49\n",
            "Logistic Regression trained at: 22:54:26\n",
            "Logistic Regression predicted at: 22:54:26\n",
            "Logistic Regression Accuracy: 0.4148148148148148\n",
            "Running feature 4:dcau_LDS\n",
            "SVM started at: 22:54:27\n",
            "SVM trained at: 22:55:04\n",
            "SVM predicted at: 22:55:16\n",
            "SVM Accuracy: 0.5333333333333333\n",
            "K-Nearest Neighbors started at: 22:55:16\n",
            "K-Nearest Neighbors trained at: 22:55:16\n",
            "K-Nearest Neighbors predicted at: 22:55:18\n",
            "K-Nearest Neighbors Accuracy: 0.4444444444444444\n",
            "Logistic Regression started at: 22:55:18\n",
            "Logistic Regression trained at: 22:55:58\n",
            "Logistic Regression predicted at: 22:55:58\n",
            "Logistic Regression Accuracy: 0.4444444444444444\n",
            "Running feature 5:dcau_movingAve\n",
            "SVM started at: 22:55:58\n",
            "SVM trained at: 22:56:37\n",
            "SVM predicted at: 22:56:55\n",
            "SVM Accuracy: 0.5259259259259259\n",
            "K-Nearest Neighbors started at: 22:56:55\n",
            "K-Nearest Neighbors trained at: 22:56:55\n",
            "K-Nearest Neighbors predicted at: 22:56:55\n",
            "K-Nearest Neighbors Accuracy: 0.3925925925925926\n",
            "Logistic Regression started at: 22:56:56\n",
            "Logistic Regression trained at: 22:57:37\n",
            "Logistic Regression predicted at: 22:57:37\n",
            "Logistic Regression Accuracy: 0.5481481481481482\n",
            "Running feature 6:de_LDS\n",
            "SVM started at: 22:57:38\n",
            "SVM trained at: 22:57:56\n",
            "SVM predicted at: 22:58:05\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 22:58:05\n",
            "K-Nearest Neighbors trained at: 22:58:05\n",
            "K-Nearest Neighbors predicted at: 22:58:06\n",
            "K-Nearest Neighbors Accuracy: 0.3333333333333333\n",
            "Logistic Regression started at: 22:58:07\n",
            "Logistic Regression trained at: 22:58:49\n",
            "Logistic Regression predicted at: 22:58:49\n",
            "Logistic Regression Accuracy: 0.3333333333333333\n",
            "Running feature 7:de_movingAve\n",
            "SVM started at: 22:58:50\n",
            "SVM trained at: 22:59:08\n",
            "SVM predicted at: 22:59:17\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 22:59:17\n",
            "K-Nearest Neighbors trained at: 22:59:17\n",
            "K-Nearest Neighbors predicted at: 22:59:18\n",
            "K-Nearest Neighbors Accuracy: 0.3333333333333333\n",
            "Logistic Regression started at: 22:59:18\n",
            "Logistic Regression trained at: 23:00:02\n",
            "Logistic Regression predicted at: 23:00:02\n",
            "Logistic Regression Accuracy: 0.3333333333333333\n",
            "Running feature 8:psd_LDS\n",
            "SVM started at: 23:00:03\n",
            "SVM trained at: 23:00:42\n",
            "SVM predicted at: 23:00:57\n",
            "SVM Accuracy: 0.32592592592592595\n",
            "K-Nearest Neighbors started at: 23:00:57\n",
            "K-Nearest Neighbors trained at: 23:00:57\n",
            "K-Nearest Neighbors predicted at: 23:00:58\n",
            "K-Nearest Neighbors Accuracy: 0.4074074074074074\n",
            "Logistic Regression started at: 23:00:58\n",
            "Logistic Regression trained at: 23:01:06\n",
            "Logistic Regression predicted at: 23:01:06\n",
            "Logistic Regression Accuracy: 0.3333333333333333\n",
            "Running feature 9:psd_movingAve\n",
            "SVM started at: 23:01:07\n",
            "SVM trained at: 23:01:47\n",
            "SVM predicted at: 23:02:02\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 23:02:02\n",
            "K-Nearest Neighbors trained at: 23:02:02\n",
            "K-Nearest Neighbors predicted at: 23:02:03\n",
            "K-Nearest Neighbors Accuracy: 0.34074074074074073\n",
            "Logistic Regression started at: 23:02:03\n",
            "Logistic Regression trained at: 23:02:11\n",
            "Logistic Regression predicted at: 23:02:11\n",
            "Logistic Regression Accuracy: 0.3333333333333333\n",
            "Running feature 10:rasm_LDS\n",
            "SVM started at: 23:02:12\n",
            "SVM trained at: 23:02:38\n",
            "SVM predicted at: 23:02:50\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 23:02:50\n",
            "K-Nearest Neighbors trained at: 23:02:50\n",
            "K-Nearest Neighbors predicted at: 23:02:50\n",
            "K-Nearest Neighbors Accuracy: 0.3333333333333333\n",
            "Logistic Regression started at: 23:02:51\n",
            "Logistic Regression trained at: 23:03:35\n",
            "Logistic Regression predicted at: 23:03:35\n",
            "Logistic Regression Accuracy: 0.3333333333333333\n",
            "Running feature 11:rasm_movingAve\n",
            "SVM started at: 23:03:36\n",
            "SVM trained at: 23:04:04\n",
            "SVM predicted at: 23:04:13\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 23:04:13\n",
            "K-Nearest Neighbors trained at: 23:04:13\n",
            "K-Nearest Neighbors predicted at: 23:04:14\n",
            "K-Nearest Neighbors Accuracy: 0.3333333333333333\n",
            "Logistic Regression started at: 23:04:14\n",
            "Logistic Regression trained at: 23:04:55\n",
            "Logistic Regression predicted at: 23:04:55\n",
            "Logistic Regression Accuracy: 0.3333333333333333\n",
            "\n",
            "\n",
            "Running fold 4\n",
            "Running feature 0:asm_LDS\n",
            "SVM started at: 23:04:56\n",
            "SVM trained at: 23:05:30\n",
            "SVM predicted at: 23:05:45\n",
            "SVM Accuracy: 0.014814814814814815\n",
            "K-Nearest Neighbors started at: 23:05:45\n",
            "K-Nearest Neighbors trained at: 23:05:45\n",
            "K-Nearest Neighbors predicted at: 23:05:46\n",
            "K-Nearest Neighbors Accuracy: 0.2518518518518518\n",
            "Logistic Regression started at: 23:05:46\n",
            "Logistic Regression trained at: 23:06:26\n",
            "Logistic Regression predicted at: 23:06:26\n",
            "Logistic Regression Accuracy: 0.05185185185185185\n",
            "Running feature 1:asm_movingAve\n",
            "SVM started at: 23:06:26\n",
            "SVM trained at: 23:07:07\n",
            "SVM predicted at: 23:07:23\n",
            "SVM Accuracy: 0.014814814814814815\n",
            "K-Nearest Neighbors started at: 23:07:23\n",
            "K-Nearest Neighbors trained at: 23:07:23\n",
            "K-Nearest Neighbors predicted at: 23:07:24\n",
            "K-Nearest Neighbors Accuracy: 0.23703703703703705\n",
            "Logistic Regression started at: 23:07:24\n",
            "Logistic Regression trained at: 23:08:02\n",
            "Logistic Regression predicted at: 23:08:02\n",
            "Logistic Regression Accuracy: 0.022222222222222223\n",
            "Running feature 2:dasm_LDS\n",
            "SVM started at: 23:08:03\n",
            "SVM trained at: 23:08:44\n",
            "SVM predicted at: 23:08:58\n",
            "SVM Accuracy: 0.16296296296296298\n",
            "K-Nearest Neighbors started at: 23:08:58\n",
            "K-Nearest Neighbors trained at: 23:08:58\n",
            "K-Nearest Neighbors predicted at: 23:08:59\n",
            "K-Nearest Neighbors Accuracy: 0.35555555555555557\n",
            "Logistic Regression started at: 23:08:59\n",
            "Logistic Regression trained at: 23:09:36\n",
            "Logistic Regression predicted at: 23:09:36\n",
            "Logistic Regression Accuracy: 0.17037037037037037\n",
            "Running feature 3:dasm_movingAve\n",
            "SVM started at: 23:09:37\n",
            "SVM trained at: 23:10:17\n",
            "SVM predicted at: 23:10:32\n",
            "SVM Accuracy: 0.16296296296296298\n",
            "K-Nearest Neighbors started at: 23:10:32\n",
            "K-Nearest Neighbors trained at: 23:10:32\n",
            "K-Nearest Neighbors predicted at: 23:10:33\n",
            "K-Nearest Neighbors Accuracy: 0.34074074074074073\n",
            "Logistic Regression started at: 23:10:33\n",
            "Logistic Regression trained at: 23:11:12\n",
            "Logistic Regression predicted at: 23:11:12\n",
            "Logistic Regression Accuracy: 0.21481481481481482\n",
            "Running feature 4:dcau_LDS\n",
            "SVM started at: 23:11:13\n",
            "SVM trained at: 23:11:49\n",
            "SVM predicted at: 23:12:01\n",
            "SVM Accuracy: 0.0962962962962963\n",
            "K-Nearest Neighbors started at: 23:12:01\n",
            "K-Nearest Neighbors trained at: 23:12:01\n",
            "K-Nearest Neighbors predicted at: 23:12:02\n",
            "K-Nearest Neighbors Accuracy: 0.35555555555555557\n",
            "Logistic Regression started at: 23:12:02\n",
            "Logistic Regression trained at: 23:12:43\n",
            "Logistic Regression predicted at: 23:12:43\n",
            "Logistic Regression Accuracy: 0.11851851851851852\n",
            "Running feature 5:dcau_movingAve\n",
            "SVM started at: 23:12:43\n",
            "SVM trained at: 23:13:19\n",
            "SVM predicted at: 23:13:33\n",
            "SVM Accuracy: 0.13333333333333333\n",
            "K-Nearest Neighbors started at: 23:13:33\n",
            "K-Nearest Neighbors trained at: 23:13:33\n",
            "K-Nearest Neighbors predicted at: 23:13:34\n",
            "K-Nearest Neighbors Accuracy: 0.3111111111111111\n",
            "Logistic Regression started at: 23:13:34\n",
            "Logistic Regression trained at: 23:14:14\n",
            "Logistic Regression predicted at: 23:14:14\n",
            "Logistic Regression Accuracy: 0.2074074074074074\n",
            "Running feature 6:de_LDS\n",
            "SVM started at: 23:14:15\n",
            "SVM trained at: 23:14:32\n",
            "SVM predicted at: 23:14:39\n",
            "SVM Accuracy: 0.0\n",
            "K-Nearest Neighbors started at: 23:14:39\n",
            "K-Nearest Neighbors trained at: 23:14:39\n",
            "K-Nearest Neighbors predicted at: 23:14:39\n",
            "K-Nearest Neighbors Accuracy: 0.0\n",
            "Logistic Regression started at: 23:14:40\n",
            "Logistic Regression trained at: 23:15:19\n",
            "Logistic Regression predicted at: 23:15:19\n",
            "Logistic Regression Accuracy: 0.0\n",
            "Running feature 7:de_movingAve\n",
            "SVM started at: 23:15:20\n",
            "SVM trained at: 23:15:39\n",
            "SVM predicted at: 23:15:46\n",
            "SVM Accuracy: 0.0\n",
            "K-Nearest Neighbors started at: 23:15:46\n",
            "K-Nearest Neighbors trained at: 23:15:46\n",
            "K-Nearest Neighbors predicted at: 23:15:47\n",
            "K-Nearest Neighbors Accuracy: 0.0\n",
            "Logistic Regression started at: 23:15:48\n",
            "Logistic Regression trained at: 23:16:29\n",
            "Logistic Regression predicted at: 23:16:29\n",
            "Logistic Regression Accuracy: 0.007407407407407408\n",
            "Running feature 8:psd_LDS\n",
            "SVM started at: 23:16:30\n",
            "SVM trained at: 23:17:09\n",
            "SVM predicted at: 23:17:22\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 23:17:22\n",
            "K-Nearest Neighbors trained at: 23:17:22\n",
            "K-Nearest Neighbors predicted at: 23:17:23\n",
            "K-Nearest Neighbors Accuracy: 0.34074074074074073\n",
            "Logistic Regression started at: 23:17:23\n",
            "Logistic Regression trained at: 23:17:32\n",
            "Logistic Regression predicted at: 23:17:32\n",
            "Logistic Regression Accuracy: 0.3333333333333333\n",
            "Running feature 9:psd_movingAve\n",
            "SVM started at: 23:17:32\n",
            "SVM trained at: 23:18:11\n",
            "SVM predicted at: 23:18:27\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 23:18:27\n",
            "K-Nearest Neighbors trained at: 23:18:27\n",
            "K-Nearest Neighbors predicted at: 23:18:28\n",
            "K-Nearest Neighbors Accuracy: 0.362962962962963\n",
            "Logistic Regression started at: 23:18:28\n",
            "Logistic Regression trained at: 23:18:36\n",
            "Logistic Regression predicted at: 23:18:36\n",
            "Logistic Regression Accuracy: 0.3333333333333333\n",
            "Running feature 10:rasm_LDS\n",
            "SVM started at: 23:18:37\n",
            "SVM trained at: 23:19:01\n",
            "SVM predicted at: 23:19:11\n",
            "SVM Accuracy: 0.0\n",
            "K-Nearest Neighbors started at: 23:19:11\n",
            "K-Nearest Neighbors trained at: 23:19:12\n",
            "K-Nearest Neighbors predicted at: 23:19:12\n",
            "K-Nearest Neighbors Accuracy: 0.0\n",
            "Logistic Regression started at: 23:19:12\n",
            "Logistic Regression trained at: 23:19:55\n",
            "Logistic Regression predicted at: 23:19:55\n",
            "Logistic Regression Accuracy: 0.0\n",
            "Running feature 11:rasm_movingAve\n",
            "SVM started at: 23:19:55\n",
            "SVM trained at: 23:20:19\n",
            "SVM predicted at: 23:20:30\n",
            "SVM Accuracy: 0.0\n",
            "K-Nearest Neighbors started at: 23:20:30\n",
            "K-Nearest Neighbors trained at: 23:20:30\n",
            "K-Nearest Neighbors predicted at: 23:20:31\n",
            "K-Nearest Neighbors Accuracy: 0.0\n",
            "Logistic Regression started at: 23:20:31\n",
            "Logistic Regression trained at: 23:21:13\n",
            "Logistic Regression predicted at: 23:21:13\n",
            "Logistic Regression Accuracy: 0.0\n",
            "\n",
            "\n",
            "Running fold 4\n",
            "Running feature 0:asm_LDS\n",
            "SVM started at: 23:21:14\n",
            "SVM trained at: 23:21:53\n",
            "SVM predicted at: 23:22:07\n",
            "SVM Accuracy: 0.28888888888888886\n",
            "K-Nearest Neighbors started at: 23:22:07\n",
            "K-Nearest Neighbors trained at: 23:22:07\n",
            "K-Nearest Neighbors predicted at: 23:22:08\n",
            "K-Nearest Neighbors Accuracy: 0.4\n",
            "Logistic Regression started at: 23:22:08\n",
            "Logistic Regression trained at: 23:22:47\n",
            "Logistic Regression predicted at: 23:22:47\n",
            "Logistic Regression Accuracy: 0.26666666666666666\n",
            "Running feature 1:asm_movingAve\n",
            "SVM started at: 23:22:47\n",
            "SVM trained at: 23:23:28\n",
            "SVM predicted at: 23:23:42\n",
            "SVM Accuracy: 0.28888888888888886\n",
            "K-Nearest Neighbors started at: 23:23:43\n",
            "K-Nearest Neighbors trained at: 23:23:43\n",
            "K-Nearest Neighbors predicted at: 23:23:43\n",
            "K-Nearest Neighbors Accuracy: 0.4222222222222222\n",
            "Logistic Regression started at: 23:23:43\n",
            "Logistic Regression trained at: 23:24:23\n",
            "Logistic Regression predicted at: 23:24:23\n",
            "Logistic Regression Accuracy: 0.25925925925925924\n",
            "Running feature 2:dasm_LDS\n",
            "SVM started at: 23:24:24\n",
            "SVM trained at: 23:25:06\n",
            "SVM predicted at: 23:25:21\n",
            "SVM Accuracy: 0.362962962962963\n",
            "K-Nearest Neighbors started at: 23:25:21\n",
            "K-Nearest Neighbors trained at: 23:25:21\n",
            "K-Nearest Neighbors predicted at: 23:25:21\n",
            "K-Nearest Neighbors Accuracy: 0.5259259259259259\n",
            "Logistic Regression started at: 23:25:22\n",
            "Logistic Regression trained at: 23:26:01\n",
            "Logistic Regression predicted at: 23:26:01\n",
            "Logistic Regression Accuracy: 0.32592592592592595\n",
            "Running feature 3:dasm_movingAve\n",
            "SVM started at: 23:26:02\n",
            "SVM trained at: 23:26:44\n",
            "SVM predicted at: 23:26:59\n",
            "SVM Accuracy: 0.37777777777777777\n",
            "K-Nearest Neighbors started at: 23:26:59\n",
            "K-Nearest Neighbors trained at: 23:26:59\n",
            "K-Nearest Neighbors predicted at: 23:27:00\n",
            "K-Nearest Neighbors Accuracy: 0.45185185185185184\n",
            "Logistic Regression started at: 23:27:00\n",
            "Logistic Regression trained at: 23:27:40\n",
            "Logistic Regression predicted at: 23:27:40\n",
            "Logistic Regression Accuracy: 0.2962962962962963\n",
            "Running feature 4:dcau_LDS\n",
            "SVM started at: 23:27:40\n",
            "SVM trained at: 23:28:17\n",
            "SVM predicted at: 23:28:29\n",
            "SVM Accuracy: 0.45185185185185184\n",
            "K-Nearest Neighbors started at: 23:28:29\n",
            "K-Nearest Neighbors trained at: 23:28:29\n",
            "K-Nearest Neighbors predicted at: 23:28:30\n",
            "K-Nearest Neighbors Accuracy: 0.4740740740740741\n",
            "Logistic Regression started at: 23:28:30\n",
            "Logistic Regression trained at: 23:29:09\n",
            "Logistic Regression predicted at: 23:29:09\n",
            "Logistic Regression Accuracy: 0.4\n",
            "Running feature 5:dcau_movingAve\n",
            "SVM started at: 23:29:09\n",
            "SVM trained at: 23:29:46\n",
            "SVM predicted at: 23:30:01\n",
            "SVM Accuracy: 0.4444444444444444\n",
            "K-Nearest Neighbors started at: 23:30:01\n",
            "K-Nearest Neighbors trained at: 23:30:01\n",
            "K-Nearest Neighbors predicted at: 23:30:02\n",
            "K-Nearest Neighbors Accuracy: 0.5037037037037037\n",
            "Logistic Regression started at: 23:30:02\n",
            "Logistic Regression trained at: 23:30:41\n",
            "Logistic Regression predicted at: 23:30:41\n",
            "Logistic Regression Accuracy: 0.42962962962962964\n",
            "Running feature 6:de_LDS\n",
            "SVM started at: 23:30:42\n",
            "SVM trained at: 23:31:02\n",
            "SVM predicted at: 23:31:09\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 23:31:09\n",
            "K-Nearest Neighbors trained at: 23:31:09\n",
            "K-Nearest Neighbors predicted at: 23:31:11\n",
            "K-Nearest Neighbors Accuracy: 0.2222222222222222\n",
            "Logistic Regression started at: 23:31:11\n",
            "Logistic Regression trained at: 23:31:51\n",
            "Logistic Regression predicted at: 23:31:51\n",
            "Logistic Regression Accuracy: 0.2962962962962963\n",
            "Running feature 7:de_movingAve\n",
            "SVM started at: 23:31:52\n",
            "SVM trained at: 23:32:10\n",
            "SVM predicted at: 23:32:21\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 23:32:21\n",
            "K-Nearest Neighbors trained at: 23:32:22\n",
            "K-Nearest Neighbors predicted at: 23:32:22\n",
            "K-Nearest Neighbors Accuracy: 0.2074074074074074\n",
            "Logistic Regression started at: 23:32:22\n",
            "Logistic Regression trained at: 23:33:04\n",
            "Logistic Regression predicted at: 23:33:04\n",
            "Logistic Regression Accuracy: 0.2\n",
            "Running feature 8:psd_LDS\n",
            "SVM started at: 23:33:04\n",
            "SVM trained at: 23:33:46\n",
            "SVM predicted at: 23:34:01\n",
            "SVM Accuracy: 0.31851851851851853\n",
            "K-Nearest Neighbors started at: 23:34:02\n",
            "K-Nearest Neighbors trained at: 23:34:02\n",
            "K-Nearest Neighbors predicted at: 23:34:03\n",
            "K-Nearest Neighbors Accuracy: 0.42962962962962964\n",
            "Logistic Regression started at: 23:34:03\n",
            "Logistic Regression trained at: 23:34:09\n",
            "Logistic Regression predicted at: 23:34:10\n",
            "Logistic Regression Accuracy: 0.3333333333333333\n",
            "Running feature 9:psd_movingAve\n",
            "SVM started at: 23:34:10\n",
            "SVM trained at: 23:34:46\n",
            "SVM predicted at: 23:34:58\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 23:34:59\n",
            "K-Nearest Neighbors trained at: 23:34:59\n",
            "K-Nearest Neighbors predicted at: 23:34:59\n",
            "K-Nearest Neighbors Accuracy: 0.42962962962962964\n",
            "Logistic Regression started at: 23:35:00\n",
            "Logistic Regression trained at: 23:35:06\n",
            "Logistic Regression predicted at: 23:35:06\n",
            "Logistic Regression Accuracy: 0.3333333333333333\n",
            "Running feature 10:rasm_LDS\n",
            "SVM started at: 23:35:06\n",
            "SVM trained at: 23:35:31\n",
            "SVM predicted at: 23:35:39\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 23:35:39\n",
            "K-Nearest Neighbors trained at: 23:35:39\n",
            "K-Nearest Neighbors predicted at: 23:35:39\n",
            "K-Nearest Neighbors Accuracy: 0.21481481481481482\n",
            "Logistic Regression started at: 23:35:40\n",
            "Logistic Regression trained at: 23:36:17\n",
            "Logistic Regression predicted at: 23:36:17\n",
            "Logistic Regression Accuracy: 0.18518518518518517\n",
            "Running feature 11:rasm_movingAve\n",
            "SVM started at: 23:36:17\n",
            "SVM trained at: 23:36:43\n",
            "SVM predicted at: 23:36:54\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 23:36:55\n",
            "K-Nearest Neighbors trained at: 23:36:55\n",
            "K-Nearest Neighbors predicted at: 23:36:55\n",
            "K-Nearest Neighbors Accuracy: 0.2222222222222222\n",
            "Logistic Regression started at: 23:36:55\n",
            "Logistic Regression trained at: 23:37:32\n",
            "Logistic Regression predicted at: 23:37:32\n",
            "Logistic Regression Accuracy: 0.2074074074074074\n",
            "\n",
            "\n",
            "Running fold 4\n",
            "Running feature 0:asm_LDS\n",
            "SVM started at: 23:37:33\n",
            "SVM trained at: 23:38:04\n",
            "SVM predicted at: 23:38:18\n",
            "SVM Accuracy: 0.45185185185185184\n",
            "K-Nearest Neighbors started at: 23:38:18\n",
            "K-Nearest Neighbors trained at: 23:38:18\n",
            "K-Nearest Neighbors predicted at: 23:38:19\n",
            "K-Nearest Neighbors Accuracy: 0.45185185185185184\n",
            "Logistic Regression started at: 23:38:19\n",
            "Logistic Regression trained at: 23:38:55\n",
            "Logistic Regression predicted at: 23:38:55\n",
            "Logistic Regression Accuracy: 0.26666666666666666\n",
            "Running feature 1:asm_movingAve\n",
            "SVM started at: 23:38:55\n",
            "SVM trained at: 23:39:32\n",
            "SVM predicted at: 23:39:42\n",
            "SVM Accuracy: 0.48148148148148145\n",
            "K-Nearest Neighbors started at: 23:39:42\n",
            "K-Nearest Neighbors trained at: 23:39:42\n",
            "K-Nearest Neighbors predicted at: 23:39:43\n",
            "K-Nearest Neighbors Accuracy: 0.45925925925925926\n",
            "Logistic Regression started at: 23:39:43\n",
            "Logistic Regression trained at: 23:40:20\n",
            "Logistic Regression predicted at: 23:40:20\n",
            "Logistic Regression Accuracy: 0.3925925925925926\n",
            "Running feature 2:dasm_LDS\n",
            "SVM started at: 23:40:20\n",
            "SVM trained at: 23:40:55\n",
            "SVM predicted at: 23:41:06\n",
            "SVM Accuracy: 0.45185185185185184\n",
            "K-Nearest Neighbors started at: 23:41:06\n",
            "K-Nearest Neighbors trained at: 23:41:07\n",
            "K-Nearest Neighbors predicted at: 23:41:08\n",
            "K-Nearest Neighbors Accuracy: 0.5185185185185185\n",
            "Logistic Regression started at: 23:41:08\n",
            "Logistic Regression trained at: 23:41:44\n",
            "Logistic Regression predicted at: 23:41:44\n",
            "Logistic Regression Accuracy: 0.4222222222222222\n",
            "Running feature 3:dasm_movingAve\n",
            "SVM started at: 23:41:44\n",
            "SVM trained at: 23:42:20\n",
            "SVM predicted at: 23:42:33\n",
            "SVM Accuracy: 0.43703703703703706\n",
            "K-Nearest Neighbors started at: 23:42:33\n",
            "K-Nearest Neighbors trained at: 23:42:33\n",
            "K-Nearest Neighbors predicted at: 23:42:34\n",
            "K-Nearest Neighbors Accuracy: 0.48148148148148145\n",
            "Logistic Regression started at: 23:42:34\n",
            "Logistic Regression trained at: 23:43:09\n",
            "Logistic Regression predicted at: 23:43:10\n",
            "Logistic Regression Accuracy: 0.42962962962962964\n",
            "Running feature 4:dcau_LDS\n",
            "SVM started at: 23:43:10\n",
            "SVM trained at: 23:43:41\n",
            "SVM predicted at: 23:43:54\n",
            "SVM Accuracy: 0.6\n",
            "K-Nearest Neighbors started at: 23:43:54\n",
            "K-Nearest Neighbors trained at: 23:43:54\n",
            "K-Nearest Neighbors predicted at: 23:43:55\n",
            "K-Nearest Neighbors Accuracy: 0.5259259259259259\n",
            "Logistic Regression started at: 23:43:55\n",
            "Logistic Regression trained at: 23:44:32\n",
            "Logistic Regression predicted at: 23:44:32\n",
            "Logistic Regression Accuracy: 0.5037037037037037\n",
            "Running feature 5:dcau_movingAve\n",
            "SVM started at: 23:44:32\n",
            "SVM trained at: 23:45:04\n",
            "SVM predicted at: 23:45:17\n",
            "SVM Accuracy: 0.5777777777777777\n",
            "K-Nearest Neighbors started at: 23:45:17\n",
            "K-Nearest Neighbors trained at: 23:45:17\n",
            "K-Nearest Neighbors predicted at: 23:45:18\n",
            "K-Nearest Neighbors Accuracy: 0.4962962962962963\n",
            "Logistic Regression started at: 23:45:18\n",
            "Logistic Regression trained at: 23:45:54\n",
            "Logistic Regression predicted at: 23:45:54\n",
            "Logistic Regression Accuracy: 0.4740740740740741\n",
            "Running feature 6:de_LDS\n",
            "SVM started at: 23:45:54\n",
            "SVM trained at: 23:46:07\n",
            "SVM predicted at: 23:46:16\n",
            "SVM Accuracy: 0.31851851851851853\n",
            "K-Nearest Neighbors started at: 23:46:16\n",
            "K-Nearest Neighbors trained at: 23:46:16\n",
            "K-Nearest Neighbors predicted at: 23:46:17\n",
            "K-Nearest Neighbors Accuracy: 0.26666666666666666\n",
            "Logistic Regression started at: 23:46:17\n",
            "Logistic Regression trained at: 23:46:56\n",
            "Logistic Regression predicted at: 23:46:56\n",
            "Logistic Regression Accuracy: 0.2740740740740741\n",
            "Running feature 7:de_movingAve\n",
            "SVM started at: 23:46:57\n",
            "SVM trained at: 23:47:12\n",
            "SVM predicted at: 23:47:21\n",
            "SVM Accuracy: 0.31851851851851853\n",
            "K-Nearest Neighbors started at: 23:47:21\n",
            "K-Nearest Neighbors trained at: 23:47:21\n",
            "K-Nearest Neighbors predicted at: 23:47:22\n",
            "K-Nearest Neighbors Accuracy: 0.2518518518518518\n",
            "Logistic Regression started at: 23:47:22\n",
            "Logistic Regression trained at: 23:47:59\n",
            "Logistic Regression predicted at: 23:47:59\n",
            "Logistic Regression Accuracy: 0.28888888888888886\n",
            "Running feature 8:psd_LDS\n",
            "SVM started at: 23:48:00\n",
            "SVM trained at: 23:48:37\n",
            "SVM predicted at: 23:48:48\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 23:48:49\n",
            "K-Nearest Neighbors trained at: 23:48:49\n",
            "K-Nearest Neighbors predicted at: 23:48:49\n",
            "K-Nearest Neighbors Accuracy: 0.37777777777777777\n",
            "Logistic Regression started at: 23:48:50\n",
            "Logistic Regression trained at: 23:50:06\n",
            "Logistic Regression predicted at: 23:50:06\n",
            "Logistic Regression Accuracy: 0.3111111111111111\n",
            "Running feature 9:psd_movingAve\n",
            "SVM started at: 23:50:07\n",
            "SVM trained at: 23:50:42\n",
            "SVM predicted at: 23:50:55\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 23:50:55\n",
            "K-Nearest Neighbors trained at: 23:50:55\n",
            "K-Nearest Neighbors predicted at: 23:50:56\n",
            "K-Nearest Neighbors Accuracy: 0.34814814814814815\n",
            "Logistic Regression started at: 23:50:56\n",
            "Logistic Regression trained at: 23:51:04\n",
            "Logistic Regression predicted at: 23:51:04\n",
            "Logistic Regression Accuracy: 0.3333333333333333\n",
            "Running feature 10:rasm_LDS\n",
            "SVM started at: 23:51:05\n",
            "SVM trained at: 23:51:24\n",
            "SVM predicted at: 23:51:31\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 23:51:31\n",
            "K-Nearest Neighbors trained at: 23:51:31\n",
            "K-Nearest Neighbors predicted at: 23:51:32\n",
            "K-Nearest Neighbors Accuracy: 0.2518518518518518\n",
            "Logistic Regression started at: 23:51:32\n",
            "Logistic Regression trained at: 23:52:12\n",
            "Logistic Regression predicted at: 23:52:12\n",
            "Logistic Regression Accuracy: 0.18518518518518517\n",
            "Running feature 11:rasm_movingAve\n",
            "SVM started at: 23:52:12\n",
            "SVM trained at: 23:52:32\n",
            "SVM predicted at: 23:52:43\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 23:52:43\n",
            "K-Nearest Neighbors trained at: 23:52:43\n",
            "K-Nearest Neighbors predicted at: 23:52:44\n",
            "K-Nearest Neighbors Accuracy: 0.2222222222222222\n",
            "Logistic Regression started at: 23:52:44\n",
            "Logistic Regression trained at: 23:53:23\n",
            "Logistic Regression predicted at: 23:53:23\n",
            "Logistic Regression Accuracy: 0.15555555555555556\n",
            "\n",
            "\n",
            "Running fold 4\n",
            "Running feature 0:asm_LDS\n",
            "SVM started at: 23:53:23\n",
            "SVM trained at: 23:53:59\n",
            "SVM predicted at: 23:54:09\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 23:54:09\n",
            "K-Nearest Neighbors trained at: 23:54:10\n",
            "K-Nearest Neighbors predicted at: 23:54:10\n",
            "K-Nearest Neighbors Accuracy: 0.4\n",
            "Logistic Regression started at: 23:54:10\n",
            "Logistic Regression trained at: 23:54:48\n",
            "Logistic Regression predicted at: 23:54:48\n",
            "Logistic Regression Accuracy: 0.5925925925925926\n",
            "Running feature 1:asm_movingAve\n",
            "SVM started at: 23:54:49\n",
            "SVM trained at: 23:55:26\n",
            "SVM predicted at: 23:55:39\n",
            "SVM Accuracy: 0.2518518518518518\n",
            "K-Nearest Neighbors started at: 23:55:39\n",
            "K-Nearest Neighbors trained at: 23:55:39\n",
            "K-Nearest Neighbors predicted at: 23:55:40\n",
            "K-Nearest Neighbors Accuracy: 0.34814814814814815\n",
            "Logistic Regression started at: 23:55:40\n",
            "Logistic Regression trained at: 23:56:15\n",
            "Logistic Regression predicted at: 23:56:15\n",
            "Logistic Regression Accuracy: 0.5407407407407407\n",
            "Running feature 2:dasm_LDS\n",
            "SVM started at: 23:56:16\n",
            "SVM trained at: 23:56:49\n",
            "SVM predicted at: 23:57:03\n",
            "SVM Accuracy: 0.31851851851851853\n",
            "K-Nearest Neighbors started at: 23:57:03\n",
            "K-Nearest Neighbors trained at: 23:57:03\n",
            "K-Nearest Neighbors predicted at: 23:57:04\n",
            "K-Nearest Neighbors Accuracy: 0.45185185185185184\n",
            "Logistic Regression started at: 23:57:04\n",
            "Logistic Regression trained at: 23:57:40\n",
            "Logistic Regression predicted at: 23:57:40\n",
            "Logistic Regression Accuracy: 0.5333333333333333\n",
            "Running feature 3:dasm_movingAve\n",
            "SVM started at: 23:57:40\n",
            "SVM trained at: 23:58:15\n",
            "SVM predicted at: 23:58:27\n",
            "SVM Accuracy: 0.3111111111111111\n",
            "K-Nearest Neighbors started at: 23:58:27\n",
            "K-Nearest Neighbors trained at: 23:58:27\n",
            "K-Nearest Neighbors predicted at: 23:58:28\n",
            "K-Nearest Neighbors Accuracy: 0.3851851851851852\n",
            "Logistic Regression started at: 23:58:28\n",
            "Logistic Regression trained at: 23:59:06\n",
            "Logistic Regression predicted at: 23:59:06\n",
            "Logistic Regression Accuracy: 0.4444444444444444\n",
            "Running feature 4:dcau_LDS\n",
            "SVM started at: 23:59:07\n",
            "SVM trained at: 23:59:37\n",
            "SVM predicted at: 23:59:48\n",
            "SVM Accuracy: 0.4962962962962963\n",
            "K-Nearest Neighbors started at: 23:59:48\n",
            "K-Nearest Neighbors trained at: 23:59:48\n",
            "K-Nearest Neighbors predicted at: 23:59:49\n",
            "K-Nearest Neighbors Accuracy: 0.4444444444444444\n",
            "Logistic Regression started at: 23:59:49\n",
            "Logistic Regression trained at: 00:00:26\n",
            "Logistic Regression predicted at: 00:00:26\n",
            "Logistic Regression Accuracy: 0.762962962962963\n",
            "Running feature 5:dcau_movingAve\n",
            "SVM started at: 00:00:27\n",
            "SVM trained at: 00:00:58\n",
            "SVM predicted at: 00:01:09\n",
            "SVM Accuracy: 0.45925925925925926\n",
            "K-Nearest Neighbors started at: 00:01:09\n",
            "K-Nearest Neighbors trained at: 00:01:09\n",
            "K-Nearest Neighbors predicted at: 00:01:10\n",
            "K-Nearest Neighbors Accuracy: 0.37777777777777777\n",
            "Logistic Regression started at: 00:01:10\n",
            "Logistic Regression trained at: 00:01:46\n",
            "Logistic Regression predicted at: 00:01:46\n",
            "Logistic Regression Accuracy: 0.6888888888888889\n",
            "Running feature 6:de_LDS\n",
            "SVM started at: 00:01:46\n",
            "SVM trained at: 00:02:02\n",
            "SVM predicted at: 00:02:09\n",
            "SVM Accuracy: 0.5703703703703704\n",
            "K-Nearest Neighbors started at: 00:02:10\n",
            "K-Nearest Neighbors trained at: 00:02:10\n",
            "K-Nearest Neighbors predicted at: 00:02:10\n",
            "K-Nearest Neighbors Accuracy: 0.6074074074074074\n",
            "Logistic Regression started at: 00:02:10\n",
            "Logistic Regression trained at: 00:02:46\n",
            "Logistic Regression predicted at: 00:02:46\n",
            "Logistic Regression Accuracy: 0.6370370370370371\n",
            "Running feature 7:de_movingAve\n",
            "SVM started at: 00:02:46\n",
            "SVM trained at: 00:03:04\n",
            "SVM predicted at: 00:03:13\n",
            "SVM Accuracy: 0.5925925925925926\n",
            "K-Nearest Neighbors started at: 00:03:13\n",
            "K-Nearest Neighbors trained at: 00:03:14\n",
            "K-Nearest Neighbors predicted at: 00:03:14\n",
            "K-Nearest Neighbors Accuracy: 0.5851851851851851\n",
            "Logistic Regression started at: 00:03:14\n",
            "Logistic Regression trained at: 00:03:50\n",
            "Logistic Regression predicted at: 00:03:50\n",
            "Logistic Regression Accuracy: 0.6296296296296297\n",
            "Running feature 8:psd_LDS\n",
            "SVM started at: 00:03:50\n",
            "SVM trained at: 00:04:25\n",
            "SVM predicted at: 00:04:37\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 00:04:37\n",
            "K-Nearest Neighbors trained at: 00:04:37\n",
            "K-Nearest Neighbors predicted at: 00:04:38\n",
            "K-Nearest Neighbors Accuracy: 0.4666666666666667\n",
            "Logistic Regression started at: 00:04:38\n",
            "Logistic Regression trained at: 00:04:45\n",
            "Logistic Regression predicted at: 00:04:45\n",
            "Logistic Regression Accuracy: 0.3333333333333333\n",
            "Running feature 9:psd_movingAve\n",
            "SVM started at: 00:04:46\n",
            "SVM trained at: 00:05:20\n",
            "SVM predicted at: 00:05:32\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 00:05:32\n",
            "K-Nearest Neighbors trained at: 00:05:32\n",
            "K-Nearest Neighbors predicted at: 00:05:33\n",
            "K-Nearest Neighbors Accuracy: 0.4148148148148148\n",
            "Logistic Regression started at: 00:05:33\n",
            "Logistic Regression trained at: 00:05:39\n",
            "Logistic Regression predicted at: 00:05:39\n",
            "Logistic Regression Accuracy: 0.3333333333333333\n",
            "Running feature 10:rasm_LDS\n",
            "SVM started at: 00:05:40\n",
            "SVM trained at: 00:06:03\n",
            "SVM predicted at: 00:06:11\n",
            "SVM Accuracy: 0.5407407407407407\n",
            "K-Nearest Neighbors started at: 00:06:12\n",
            "K-Nearest Neighbors trained at: 00:06:12\n",
            "K-Nearest Neighbors predicted at: 00:06:12\n",
            "K-Nearest Neighbors Accuracy: 0.562962962962963\n",
            "Logistic Regression started at: 00:06:12\n",
            "Logistic Regression trained at: 00:06:48\n",
            "Logistic Regression predicted at: 00:06:48\n",
            "Logistic Regression Accuracy: 0.5407407407407407\n",
            "Running feature 11:rasm_movingAve\n",
            "SVM started at: 00:06:49\n",
            "SVM trained at: 00:07:14\n",
            "SVM predicted at: 00:07:23\n",
            "SVM Accuracy: 0.5333333333333333\n",
            "K-Nearest Neighbors started at: 00:07:23\n",
            "K-Nearest Neighbors trained at: 00:07:23\n",
            "K-Nearest Neighbors predicted at: 00:07:24\n",
            "K-Nearest Neighbors Accuracy: 0.5111111111111111\n",
            "Logistic Regression started at: 00:07:24\n",
            "Logistic Regression trained at: 00:08:01\n",
            "Logistic Regression predicted at: 00:08:01\n",
            "Logistic Regression Accuracy: 0.5333333333333333\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# All Subjects, 3 Subjects Aside, Each Feature, Each Frequency Band"
      ],
      "metadata": {
        "id": "vXQvno3c_kcN"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "results_dict =dict([(i,{\n",
        "  \"SVM\": [[] for i in range(5)],\n",
        "  \"K-Nearest Neighbors\": [[] for i in range(5)],\n",
        "  \"Logistic Regression\": [[] for i in range(5)]\n",
        "}) for i in features_map ])\n",
        "\n",
        "all_index = [i for i in range(15)]\n",
        "kf = KFold(n_splits=5, shuffle=False)\n",
        "\n",
        "for f in range(len(features_map)):\n",
        "  print(f\"\\n\\nRunning feature {f}:{features_map[f]}\")\n",
        "  for fold, (train_index, test_index) in enumerate(kf.split(all_index)):\n",
        "    print(f\"Running fold {fold}\")\n",
        "\n",
        "    train_indices = np.array([list(range(i*45, (i+1)*45)) for i in train_index ]).flatten()\n",
        "    test_indices = np.array([list(range(i*45, (i+1)*45)) for i in test_index ]).flatten()\n",
        "\n",
        "    train_labels = labels_edited[train_indices]\n",
        "    test_labels = labels_edited[test_indices]\n",
        "\n",
        "    for b in range(5):\n",
        "      print(f\"Running band {b}\")\n",
        "      train_data = data[train_indices,f,:,:,b].reshape(len(train_indices),-1)\n",
        "      test_data = data[test_indices,f,:,:,b].reshape(len(test_indices),-1)\n",
        "\n",
        "      classifiers = {\n",
        "        \"SVM\": SVC(),\n",
        "        \"K-Nearest Neighbors\": KNeighborsClassifier(),\n",
        "        \"Logistic Regression\": LogisticRegression()\n",
        "      }\n",
        "\n",
        "      for name, clf in classifiers.items():\n",
        "        print(f\"{name} started at: {datetime.now().strftime('%H:%M:%S')}\")\n",
        "        clf.fit(train_data, train_labels)\n",
        "        print(f\"{name} trained at: {datetime.now().strftime('%H:%M:%S')}\")\n",
        "        predictions = clf.predict(test_data)\n",
        "        print(f\"{name} predicted at: {datetime.now().strftime('%H:%M:%S')}\")\n",
        "        accuracy = accuracy_score(test_labels, predictions)\n",
        "        print(f\"{name} Accuracy: {accuracy}\")\n",
        "        if results_dict[f][name][b]:\n",
        "            results_dict[f][name][b].append(accuracy)\n",
        "        else:\n",
        "            results_dict[f][name][b] = [accuracy]\n",
        "\n",
        "        del clf\n",
        "        del predictions\n",
        "        gc.collect()\n",
        "\n",
        "\n",
        "df = pd.DataFrame(results_dict)\n",
        "df.to_csv(os.path.join(base_path, 'final-allsubj-5fold-3subjaside-eachfeatures-5bands.csv'))"
      ],
      "metadata": {
        "id": "R3c-_nHJ_7zq",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "aae62c7f-a665-427d-d1d6-5853001730a3"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n",
            "Running feature 0:asm_LDS\n",
            "Running fold 0\n",
            "Running band 0\n",
            "SVM started at: 00:08:01\n",
            "SVM trained at: 00:08:06\n",
            "SVM predicted at: 00:08:07\n",
            "SVM Accuracy: 0.5777777777777777\n",
            "K-Nearest Neighbors started at: 00:08:08\n",
            "K-Nearest Neighbors trained at: 00:08:08\n",
            "K-Nearest Neighbors predicted at: 00:08:08\n",
            "K-Nearest Neighbors Accuracy: 0.4740740740740741\n",
            "Logistic Regression started at: 00:08:08\n",
            "Logistic Regression trained at: 00:08:18\n",
            "Logistic Regression predicted at: 00:08:18\n",
            "Logistic Regression Accuracy: 0.6814814814814815\n",
            "Running band 1\n",
            "SVM started at: 00:08:18\n",
            "SVM trained at: 00:08:23\n",
            "SVM predicted at: 00:08:24\n",
            "SVM Accuracy: 0.5777777777777777\n",
            "K-Nearest Neighbors started at: 00:08:24\n",
            "K-Nearest Neighbors trained at: 00:08:24\n",
            "K-Nearest Neighbors predicted at: 00:08:25\n",
            "K-Nearest Neighbors Accuracy: 0.6074074074074074\n",
            "Logistic Regression started at: 00:08:25\n",
            "Logistic Regression trained at: 00:08:34\n",
            "Logistic Regression predicted at: 00:08:34\n",
            "Logistic Regression Accuracy: 0.6666666666666666\n",
            "Running band 2\n",
            "SVM started at: 00:08:34\n",
            "SVM trained at: 00:08:39\n",
            "SVM predicted at: 00:08:40\n",
            "SVM Accuracy: 0.5777777777777777\n",
            "K-Nearest Neighbors started at: 00:08:41\n",
            "K-Nearest Neighbors trained at: 00:08:41\n",
            "K-Nearest Neighbors predicted at: 00:08:41\n",
            "K-Nearest Neighbors Accuracy: 0.5185185185185185\n",
            "Logistic Regression started at: 00:08:41\n",
            "Logistic Regression trained at: 00:08:51\n",
            "Logistic Regression predicted at: 00:08:51\n",
            "Logistic Regression Accuracy: 0.6592592592592592\n",
            "Running band 3\n",
            "SVM started at: 00:08:51\n",
            "SVM trained at: 00:08:55\n",
            "SVM predicted at: 00:08:57\n",
            "SVM Accuracy: 0.48148148148148145\n",
            "K-Nearest Neighbors started at: 00:08:57\n",
            "K-Nearest Neighbors trained at: 00:08:57\n",
            "K-Nearest Neighbors predicted at: 00:08:57\n",
            "K-Nearest Neighbors Accuracy: 0.43703703703703706\n",
            "Logistic Regression started at: 00:08:58\n",
            "Logistic Regression trained at: 00:09:07\n",
            "Logistic Regression predicted at: 00:09:07\n",
            "Logistic Regression Accuracy: 0.7185185185185186\n",
            "Running band 4\n",
            "SVM started at: 00:09:07\n",
            "SVM trained at: 00:09:12\n",
            "SVM predicted at: 00:09:14\n",
            "SVM Accuracy: 0.45185185185185184\n",
            "K-Nearest Neighbors started at: 00:09:14\n",
            "K-Nearest Neighbors trained at: 00:09:14\n",
            "K-Nearest Neighbors predicted at: 00:09:14\n",
            "K-Nearest Neighbors Accuracy: 0.4074074074074074\n",
            "Logistic Regression started at: 00:09:14\n",
            "Logistic Regression trained at: 00:09:24\n",
            "Logistic Regression predicted at: 00:09:24\n",
            "Logistic Regression Accuracy: 0.725925925925926\n",
            "Running fold 1\n",
            "Running band 0\n",
            "SVM started at: 00:09:24\n",
            "SVM trained at: 00:09:28\n",
            "SVM predicted at: 00:09:30\n",
            "SVM Accuracy: 0.4888888888888889\n",
            "K-Nearest Neighbors started at: 00:09:30\n",
            "K-Nearest Neighbors trained at: 00:09:30\n",
            "K-Nearest Neighbors predicted at: 00:09:30\n",
            "K-Nearest Neighbors Accuracy: 0.43703703703703706\n",
            "Logistic Regression started at: 00:09:30\n",
            "Logistic Regression trained at: 00:09:40\n",
            "Logistic Regression predicted at: 00:09:40\n",
            "Logistic Regression Accuracy: 0.7333333333333333\n",
            "Running band 1\n",
            "SVM started at: 00:09:40\n",
            "SVM trained at: 00:09:45\n",
            "SVM predicted at: 00:09:46\n",
            "SVM Accuracy: 0.6148148148148148\n",
            "K-Nearest Neighbors started at: 00:09:46\n",
            "K-Nearest Neighbors trained at: 00:09:46\n",
            "K-Nearest Neighbors predicted at: 00:09:47\n",
            "K-Nearest Neighbors Accuracy: 0.48148148148148145\n",
            "Logistic Regression started at: 00:09:47\n",
            "Logistic Regression trained at: 00:09:56\n",
            "Logistic Regression predicted at: 00:09:56\n",
            "Logistic Regression Accuracy: 0.725925925925926\n",
            "Running band 2\n",
            "SVM started at: 00:09:56\n",
            "SVM trained at: 00:10:01\n",
            "SVM predicted at: 00:10:03\n",
            "SVM Accuracy: 0.6518518518518519\n",
            "K-Nearest Neighbors started at: 00:10:03\n",
            "K-Nearest Neighbors trained at: 00:10:03\n",
            "K-Nearest Neighbors predicted at: 00:10:03\n",
            "K-Nearest Neighbors Accuracy: 0.5777777777777777\n",
            "Logistic Regression started at: 00:10:03\n",
            "Logistic Regression trained at: 00:10:13\n",
            "Logistic Regression predicted at: 00:10:13\n",
            "Logistic Regression Accuracy: 0.7333333333333333\n",
            "Running band 3\n",
            "SVM started at: 00:10:13\n",
            "SVM trained at: 00:10:17\n",
            "SVM predicted at: 00:10:19\n",
            "SVM Accuracy: 0.5407407407407407\n",
            "K-Nearest Neighbors started at: 00:10:19\n",
            "K-Nearest Neighbors trained at: 00:10:19\n",
            "K-Nearest Neighbors predicted at: 00:10:19\n",
            "K-Nearest Neighbors Accuracy: 0.5259259259259259\n",
            "Logistic Regression started at: 00:10:19\n",
            "Logistic Regression trained at: 00:10:29\n",
            "Logistic Regression predicted at: 00:10:29\n",
            "Logistic Regression Accuracy: 0.7185185185185186\n",
            "Running band 4\n",
            "SVM started at: 00:10:29\n",
            "SVM trained at: 00:10:34\n",
            "SVM predicted at: 00:10:36\n",
            "SVM Accuracy: 0.5555555555555556\n",
            "K-Nearest Neighbors started at: 00:10:36\n",
            "K-Nearest Neighbors trained at: 00:10:36\n",
            "K-Nearest Neighbors predicted at: 00:10:36\n",
            "K-Nearest Neighbors Accuracy: 0.4962962962962963\n",
            "Logistic Regression started at: 00:10:36\n",
            "Logistic Regression trained at: 00:10:46\n",
            "Logistic Regression predicted at: 00:10:46\n",
            "Logistic Regression Accuracy: 0.674074074074074\n",
            "Running fold 2\n",
            "Running band 0\n",
            "SVM started at: 00:10:46\n",
            "SVM trained at: 00:10:50\n",
            "SVM predicted at: 00:10:52\n",
            "SVM Accuracy: 0.5481481481481482\n",
            "K-Nearest Neighbors started at: 00:10:52\n",
            "K-Nearest Neighbors trained at: 00:10:52\n",
            "K-Nearest Neighbors predicted at: 00:10:53\n",
            "K-Nearest Neighbors Accuracy: 0.4962962962962963\n",
            "Logistic Regression started at: 00:10:53\n",
            "Logistic Regression trained at: 00:11:02\n",
            "Logistic Regression predicted at: 00:11:02\n",
            "Logistic Regression Accuracy: 0.8\n",
            "Running band 1\n",
            "SVM started at: 00:11:02\n",
            "SVM trained at: 00:11:07\n",
            "SVM predicted at: 00:11:09\n",
            "SVM Accuracy: 0.5703703703703704\n",
            "K-Nearest Neighbors started at: 00:11:09\n",
            "K-Nearest Neighbors trained at: 00:11:09\n",
            "K-Nearest Neighbors predicted at: 00:11:10\n",
            "K-Nearest Neighbors Accuracy: 0.562962962962963\n",
            "Logistic Regression started at: 00:11:10\n",
            "Logistic Regression trained at: 00:11:19\n",
            "Logistic Regression predicted at: 00:11:19\n",
            "Logistic Regression Accuracy: 0.7925925925925926\n",
            "Running band 2\n",
            "SVM started at: 00:11:20\n",
            "SVM trained at: 00:11:24\n",
            "SVM predicted at: 00:11:27\n",
            "SVM Accuracy: 0.5925925925925926\n",
            "K-Nearest Neighbors started at: 00:11:28\n",
            "K-Nearest Neighbors trained at: 00:11:28\n",
            "K-Nearest Neighbors predicted at: 00:11:28\n",
            "K-Nearest Neighbors Accuracy: 0.5037037037037037\n",
            "Logistic Regression started at: 00:11:28\n",
            "Logistic Regression trained at: 00:11:37\n",
            "Logistic Regression predicted at: 00:11:37\n",
            "Logistic Regression Accuracy: 0.7555555555555555\n",
            "Running band 3\n",
            "SVM started at: 00:11:37\n",
            "SVM trained at: 00:11:42\n",
            "SVM predicted at: 00:11:46\n",
            "SVM Accuracy: 0.4962962962962963\n",
            "K-Nearest Neighbors started at: 00:11:46\n",
            "K-Nearest Neighbors trained at: 00:11:46\n",
            "K-Nearest Neighbors predicted at: 00:11:46\n",
            "K-Nearest Neighbors Accuracy: 0.5259259259259259\n",
            "Logistic Regression started at: 00:11:47\n",
            "Logistic Regression trained at: 00:11:55\n",
            "Logistic Regression predicted at: 00:11:55\n",
            "Logistic Regression Accuracy: 0.725925925925926\n",
            "Running band 4\n",
            "SVM started at: 00:11:55\n",
            "SVM trained at: 00:12:01\n",
            "SVM predicted at: 00:12:04\n",
            "SVM Accuracy: 0.4222222222222222\n",
            "K-Nearest Neighbors started at: 00:12:05\n",
            "K-Nearest Neighbors trained at: 00:12:05\n",
            "K-Nearest Neighbors predicted at: 00:12:05\n",
            "K-Nearest Neighbors Accuracy: 0.48148148148148145\n",
            "Logistic Regression started at: 00:12:05\n",
            "Logistic Regression trained at: 00:12:12\n",
            "Logistic Regression predicted at: 00:12:12\n",
            "Logistic Regression Accuracy: 0.762962962962963\n",
            "Running fold 3\n",
            "Running band 0\n",
            "SVM started at: 00:12:13\n",
            "SVM trained at: 00:12:19\n",
            "SVM predicted at: 00:12:21\n",
            "SVM Accuracy: 0.5481481481481482\n",
            "K-Nearest Neighbors started at: 00:12:21\n",
            "K-Nearest Neighbors trained at: 00:12:21\n",
            "K-Nearest Neighbors predicted at: 00:12:22\n",
            "K-Nearest Neighbors Accuracy: 0.4222222222222222\n",
            "Logistic Regression started at: 00:12:22\n",
            "Logistic Regression trained at: 00:12:29\n",
            "Logistic Regression predicted at: 00:12:29\n",
            "Logistic Regression Accuracy: 0.7185185185185186\n",
            "Running band 1\n",
            "SVM started at: 00:12:30\n",
            "SVM trained at: 00:12:37\n",
            "SVM predicted at: 00:12:39\n",
            "SVM Accuracy: 0.6592592592592592\n",
            "K-Nearest Neighbors started at: 00:12:39\n",
            "K-Nearest Neighbors trained at: 00:12:39\n",
            "K-Nearest Neighbors predicted at: 00:12:39\n",
            "K-Nearest Neighbors Accuracy: 0.5777777777777777\n",
            "Logistic Regression started at: 00:12:39\n",
            "Logistic Regression trained at: 00:12:51\n",
            "Logistic Regression predicted at: 00:12:51\n",
            "Logistic Regression Accuracy: 0.7407407407407407\n",
            "Running band 2\n",
            "SVM started at: 00:12:51\n",
            "SVM trained at: 00:12:57\n",
            "SVM predicted at: 00:12:58\n",
            "SVM Accuracy: 0.562962962962963\n",
            "K-Nearest Neighbors started at: 00:12:58\n",
            "K-Nearest Neighbors trained at: 00:12:58\n",
            "K-Nearest Neighbors predicted at: 00:12:59\n",
            "K-Nearest Neighbors Accuracy: 0.5481481481481482\n",
            "Logistic Regression started at: 00:12:59\n",
            "Logistic Regression trained at: 00:13:08\n",
            "Logistic Regression predicted at: 00:13:08\n",
            "Logistic Regression Accuracy: 0.7333333333333333\n",
            "Running band 3\n",
            "SVM started at: 00:13:08\n",
            "SVM trained at: 00:13:14\n",
            "SVM predicted at: 00:13:15\n",
            "SVM Accuracy: 0.48148148148148145\n",
            "K-Nearest Neighbors started at: 00:13:15\n",
            "K-Nearest Neighbors trained at: 00:13:15\n",
            "K-Nearest Neighbors predicted at: 00:13:16\n",
            "K-Nearest Neighbors Accuracy: 0.48148148148148145\n",
            "Logistic Regression started at: 00:13:16\n",
            "Logistic Regression trained at: 00:13:25\n",
            "Logistic Regression predicted at: 00:13:25\n",
            "Logistic Regression Accuracy: 0.7037037037037037\n",
            "Running band 4\n",
            "SVM started at: 00:13:25\n",
            "SVM trained at: 00:13:30\n",
            "SVM predicted at: 00:13:32\n",
            "SVM Accuracy: 0.4666666666666667\n",
            "K-Nearest Neighbors started at: 00:13:32\n",
            "K-Nearest Neighbors trained at: 00:13:32\n",
            "K-Nearest Neighbors predicted at: 00:13:32\n",
            "K-Nearest Neighbors Accuracy: 0.3925925925925926\n",
            "Logistic Regression started at: 00:13:32\n",
            "Logistic Regression trained at: 00:13:41\n",
            "Logistic Regression predicted at: 00:13:41\n",
            "Logistic Regression Accuracy: 0.674074074074074\n",
            "Running fold 4\n",
            "Running band 0\n",
            "SVM started at: 00:13:42\n",
            "SVM trained at: 00:13:47\n",
            "SVM predicted at: 00:13:48\n",
            "SVM Accuracy: 0.5555555555555556\n",
            "K-Nearest Neighbors started at: 00:13:48\n",
            "K-Nearest Neighbors trained at: 00:13:48\n",
            "K-Nearest Neighbors predicted at: 00:13:48\n",
            "K-Nearest Neighbors Accuracy: 0.45925925925925926\n",
            "Logistic Regression started at: 00:13:49\n",
            "Logistic Regression trained at: 00:13:58\n",
            "Logistic Regression predicted at: 00:13:58\n",
            "Logistic Regression Accuracy: 0.6444444444444445\n",
            "Running band 1\n",
            "SVM started at: 00:13:58\n",
            "SVM trained at: 00:14:03\n",
            "SVM predicted at: 00:14:05\n",
            "SVM Accuracy: 0.6148148148148148\n",
            "K-Nearest Neighbors started at: 00:14:05\n",
            "K-Nearest Neighbors trained at: 00:14:05\n",
            "K-Nearest Neighbors predicted at: 00:14:05\n",
            "K-Nearest Neighbors Accuracy: 0.6\n",
            "Logistic Regression started at: 00:14:05\n",
            "Logistic Regression trained at: 00:14:15\n",
            "Logistic Regression predicted at: 00:14:15\n",
            "Logistic Regression Accuracy: 0.7185185185185186\n",
            "Running band 2\n",
            "SVM started at: 00:14:15\n",
            "SVM trained at: 00:14:20\n",
            "SVM predicted at: 00:14:21\n",
            "SVM Accuracy: 0.5555555555555556\n",
            "K-Nearest Neighbors started at: 00:14:21\n",
            "K-Nearest Neighbors trained at: 00:14:21\n",
            "K-Nearest Neighbors predicted at: 00:14:21\n",
            "K-Nearest Neighbors Accuracy: 0.48148148148148145\n",
            "Logistic Regression started at: 00:14:22\n",
            "Logistic Regression trained at: 00:14:32\n",
            "Logistic Regression predicted at: 00:14:32\n",
            "Logistic Regression Accuracy: 0.6888888888888889\n",
            "Running band 3\n",
            "SVM started at: 00:14:32\n",
            "SVM trained at: 00:14:37\n",
            "SVM predicted at: 00:14:38\n",
            "SVM Accuracy: 0.5037037037037037\n",
            "K-Nearest Neighbors started at: 00:14:38\n",
            "K-Nearest Neighbors trained at: 00:14:38\n",
            "K-Nearest Neighbors predicted at: 00:14:39\n",
            "K-Nearest Neighbors Accuracy: 0.45185185185185184\n",
            "Logistic Regression started at: 00:14:39\n",
            "Logistic Regression trained at: 00:14:48\n",
            "Logistic Regression predicted at: 00:14:48\n",
            "Logistic Regression Accuracy: 0.6888888888888889\n",
            "Running band 4\n",
            "SVM started at: 00:14:49\n",
            "SVM trained at: 00:14:53\n",
            "SVM predicted at: 00:14:55\n",
            "SVM Accuracy: 0.43703703703703706\n",
            "K-Nearest Neighbors started at: 00:14:55\n",
            "K-Nearest Neighbors trained at: 00:14:55\n",
            "K-Nearest Neighbors predicted at: 00:14:55\n",
            "K-Nearest Neighbors Accuracy: 0.42962962962962964\n",
            "Logistic Regression started at: 00:14:55\n",
            "Logistic Regression trained at: 00:15:05\n",
            "Logistic Regression predicted at: 00:15:05\n",
            "Logistic Regression Accuracy: 0.6666666666666666\n",
            "\n",
            "\n",
            "Running feature 1:asm_movingAve\n",
            "Running fold 0\n",
            "Running band 0\n",
            "SVM started at: 00:15:05\n",
            "SVM trained at: 00:15:10\n",
            "SVM predicted at: 00:15:11\n",
            "SVM Accuracy: 0.5259259259259259\n",
            "K-Nearest Neighbors started at: 00:15:12\n",
            "K-Nearest Neighbors trained at: 00:15:12\n",
            "K-Nearest Neighbors predicted at: 00:15:12\n",
            "K-Nearest Neighbors Accuracy: 0.35555555555555557\n",
            "Logistic Regression started at: 00:15:12\n",
            "Logistic Regression trained at: 00:15:22\n",
            "Logistic Regression predicted at: 00:15:22\n",
            "Logistic Regression Accuracy: 0.6074074074074074\n",
            "Running band 1\n",
            "SVM started at: 00:15:22\n",
            "SVM trained at: 00:15:27\n",
            "SVM predicted at: 00:15:28\n",
            "SVM Accuracy: 0.5851851851851851\n",
            "K-Nearest Neighbors started at: 00:15:28\n",
            "K-Nearest Neighbors trained at: 00:15:28\n",
            "K-Nearest Neighbors predicted at: 00:15:29\n",
            "K-Nearest Neighbors Accuracy: 0.5111111111111111\n",
            "Logistic Regression started at: 00:15:29\n",
            "Logistic Regression trained at: 00:15:38\n",
            "Logistic Regression predicted at: 00:15:38\n",
            "Logistic Regression Accuracy: 0.7111111111111111\n",
            "Running band 2\n",
            "SVM started at: 00:15:39\n",
            "SVM trained at: 00:15:43\n",
            "SVM predicted at: 00:15:45\n",
            "SVM Accuracy: 0.5555555555555556\n",
            "K-Nearest Neighbors started at: 00:15:45\n",
            "K-Nearest Neighbors trained at: 00:15:45\n",
            "K-Nearest Neighbors predicted at: 00:15:45\n",
            "K-Nearest Neighbors Accuracy: 0.5037037037037037\n",
            "Logistic Regression started at: 00:15:45\n",
            "Logistic Regression trained at: 00:15:55\n",
            "Logistic Regression predicted at: 00:15:55\n",
            "Logistic Regression Accuracy: 0.7333333333333333\n",
            "Running band 3\n",
            "SVM started at: 00:15:56\n",
            "SVM trained at: 00:16:00\n",
            "SVM predicted at: 00:16:02\n",
            "SVM Accuracy: 0.5185185185185185\n",
            "K-Nearest Neighbors started at: 00:16:02\n",
            "K-Nearest Neighbors trained at: 00:16:02\n",
            "K-Nearest Neighbors predicted at: 00:16:02\n",
            "K-Nearest Neighbors Accuracy: 0.37037037037037035\n",
            "Logistic Regression started at: 00:16:02\n",
            "Logistic Regression trained at: 00:16:12\n",
            "Logistic Regression predicted at: 00:16:12\n",
            "Logistic Regression Accuracy: 0.6888888888888889\n",
            "Running band 4\n",
            "SVM started at: 00:16:12\n",
            "SVM trained at: 00:16:17\n",
            "SVM predicted at: 00:16:18\n",
            "SVM Accuracy: 0.4888888888888889\n",
            "K-Nearest Neighbors started at: 00:16:18\n",
            "K-Nearest Neighbors trained at: 00:16:18\n",
            "K-Nearest Neighbors predicted at: 00:16:19\n",
            "K-Nearest Neighbors Accuracy: 0.4\n",
            "Logistic Regression started at: 00:16:19\n",
            "Logistic Regression trained at: 00:16:28\n",
            "Logistic Regression predicted at: 00:16:28\n",
            "Logistic Regression Accuracy: 0.7185185185185186\n",
            "Running fold 1\n",
            "Running band 0\n",
            "SVM started at: 00:16:29\n",
            "SVM trained at: 00:16:34\n",
            "SVM predicted at: 00:16:35\n",
            "SVM Accuracy: 0.4740740740740741\n",
            "K-Nearest Neighbors started at: 00:16:35\n",
            "K-Nearest Neighbors trained at: 00:16:35\n",
            "K-Nearest Neighbors predicted at: 00:16:36\n",
            "K-Nearest Neighbors Accuracy: 0.3333333333333333\n",
            "Logistic Regression started at: 00:16:36\n",
            "Logistic Regression trained at: 00:16:45\n",
            "Logistic Regression predicted at: 00:16:45\n",
            "Logistic Regression Accuracy: 0.5259259259259259\n",
            "Running band 1\n",
            "SVM started at: 00:16:46\n",
            "SVM trained at: 00:16:50\n",
            "SVM predicted at: 00:16:52\n",
            "SVM Accuracy: 0.6222222222222222\n",
            "K-Nearest Neighbors started at: 00:16:52\n",
            "K-Nearest Neighbors trained at: 00:16:52\n",
            "K-Nearest Neighbors predicted at: 00:16:52\n",
            "K-Nearest Neighbors Accuracy: 0.5407407407407407\n",
            "Logistic Regression started at: 00:16:52\n",
            "Logistic Regression trained at: 00:17:02\n",
            "Logistic Regression predicted at: 00:17:02\n",
            "Logistic Regression Accuracy: 0.7185185185185186\n",
            "Running band 2\n",
            "SVM started at: 00:17:02\n",
            "SVM trained at: 00:17:07\n",
            "SVM predicted at: 00:17:08\n",
            "SVM Accuracy: 0.6\n",
            "K-Nearest Neighbors started at: 00:17:09\n",
            "K-Nearest Neighbors trained at: 00:17:09\n",
            "K-Nearest Neighbors predicted at: 00:17:09\n",
            "K-Nearest Neighbors Accuracy: 0.5555555555555556\n",
            "Logistic Regression started at: 00:17:09\n",
            "Logistic Regression trained at: 00:17:19\n",
            "Logistic Regression predicted at: 00:17:19\n",
            "Logistic Regression Accuracy: 0.7333333333333333\n",
            "Running band 3\n",
            "SVM started at: 00:17:19\n",
            "SVM trained at: 00:17:24\n",
            "SVM predicted at: 00:17:25\n",
            "SVM Accuracy: 0.6\n",
            "K-Nearest Neighbors started at: 00:17:25\n",
            "K-Nearest Neighbors trained at: 00:17:25\n",
            "K-Nearest Neighbors predicted at: 00:17:26\n",
            "K-Nearest Neighbors Accuracy: 0.562962962962963\n",
            "Logistic Regression started at: 00:17:26\n",
            "Logistic Regression trained at: 00:17:36\n",
            "Logistic Regression predicted at: 00:17:36\n",
            "Logistic Regression Accuracy: 0.6666666666666666\n",
            "Running band 4\n",
            "SVM started at: 00:17:36\n",
            "SVM trained at: 00:17:40\n",
            "SVM predicted at: 00:17:42\n",
            "SVM Accuracy: 0.5185185185185185\n",
            "K-Nearest Neighbors started at: 00:17:42\n",
            "K-Nearest Neighbors trained at: 00:17:42\n",
            "K-Nearest Neighbors predicted at: 00:17:42\n",
            "K-Nearest Neighbors Accuracy: 0.45185185185185184\n",
            "Logistic Regression started at: 00:17:42\n",
            "Logistic Regression trained at: 00:17:52\n",
            "Logistic Regression predicted at: 00:17:52\n",
            "Logistic Regression Accuracy: 0.6592592592592592\n",
            "Running fold 2\n",
            "Running band 0\n",
            "SVM started at: 00:17:52\n",
            "SVM trained at: 00:17:57\n",
            "SVM predicted at: 00:17:59\n",
            "SVM Accuracy: 0.5333333333333333\n",
            "K-Nearest Neighbors started at: 00:17:59\n",
            "K-Nearest Neighbors trained at: 00:17:59\n",
            "K-Nearest Neighbors predicted at: 00:17:59\n",
            "K-Nearest Neighbors Accuracy: 0.3333333333333333\n",
            "Logistic Regression started at: 00:17:59\n",
            "Logistic Regression trained at: 00:18:09\n",
            "Logistic Regression predicted at: 00:18:09\n",
            "Logistic Regression Accuracy: 0.562962962962963\n",
            "Running band 1\n",
            "SVM started at: 00:18:09\n",
            "SVM trained at: 00:18:13\n",
            "SVM predicted at: 00:18:15\n",
            "SVM Accuracy: 0.6222222222222222\n",
            "K-Nearest Neighbors started at: 00:18:15\n",
            "K-Nearest Neighbors trained at: 00:18:15\n",
            "K-Nearest Neighbors predicted at: 00:18:15\n",
            "K-Nearest Neighbors Accuracy: 0.5111111111111111\n",
            "Logistic Regression started at: 00:18:16\n",
            "Logistic Regression trained at: 00:18:25\n",
            "Logistic Regression predicted at: 00:18:25\n",
            "Logistic Regression Accuracy: 0.7703703703703704\n",
            "Running band 2\n",
            "SVM started at: 00:18:25\n",
            "SVM trained at: 00:18:30\n",
            "SVM predicted at: 00:18:32\n",
            "SVM Accuracy: 0.6370370370370371\n",
            "K-Nearest Neighbors started at: 00:18:32\n",
            "K-Nearest Neighbors trained at: 00:18:32\n",
            "K-Nearest Neighbors predicted at: 00:18:32\n",
            "K-Nearest Neighbors Accuracy: 0.4962962962962963\n",
            "Logistic Regression started at: 00:18:32\n",
            "Logistic Regression trained at: 00:18:41\n",
            "Logistic Regression predicted at: 00:18:41\n",
            "Logistic Regression Accuracy: 0.7703703703703704\n",
            "Running band 3\n",
            "SVM started at: 00:18:42\n",
            "SVM trained at: 00:18:46\n",
            "SVM predicted at: 00:18:48\n",
            "SVM Accuracy: 0.5185185185185185\n",
            "K-Nearest Neighbors started at: 00:18:48\n",
            "K-Nearest Neighbors trained at: 00:18:48\n",
            "K-Nearest Neighbors predicted at: 00:18:48\n",
            "K-Nearest Neighbors Accuracy: 0.5111111111111111\n",
            "Logistic Regression started at: 00:18:48\n",
            "Logistic Regression trained at: 00:18:58\n",
            "Logistic Regression predicted at: 00:18:58\n",
            "Logistic Regression Accuracy: 0.7037037037037037\n",
            "Running band 4\n",
            "SVM started at: 00:18:58\n",
            "SVM trained at: 00:19:03\n",
            "SVM predicted at: 00:19:05\n",
            "SVM Accuracy: 0.4222222222222222\n",
            "K-Nearest Neighbors started at: 00:19:05\n",
            "K-Nearest Neighbors trained at: 00:19:05\n",
            "K-Nearest Neighbors predicted at: 00:19:05\n",
            "K-Nearest Neighbors Accuracy: 0.4148148148148148\n",
            "Logistic Regression started at: 00:19:05\n",
            "Logistic Regression trained at: 00:19:15\n",
            "Logistic Regression predicted at: 00:19:15\n",
            "Logistic Regression Accuracy: 0.6296296296296297\n",
            "Running fold 3\n",
            "Running band 0\n",
            "SVM started at: 00:19:15\n",
            "SVM trained at: 00:19:20\n",
            "SVM predicted at: 00:19:22\n",
            "SVM Accuracy: 0.45925925925925926\n",
            "K-Nearest Neighbors started at: 00:19:22\n",
            "K-Nearest Neighbors trained at: 00:19:22\n",
            "K-Nearest Neighbors predicted at: 00:19:22\n",
            "K-Nearest Neighbors Accuracy: 0.3333333333333333\n",
            "Logistic Regression started at: 00:19:22\n",
            "Logistic Regression trained at: 00:19:32\n",
            "Logistic Regression predicted at: 00:19:32\n",
            "Logistic Regression Accuracy: 0.5111111111111111\n",
            "Running band 1\n",
            "SVM started at: 00:19:32\n",
            "SVM trained at: 00:19:36\n",
            "SVM predicted at: 00:19:39\n",
            "SVM Accuracy: 0.6222222222222222\n",
            "K-Nearest Neighbors started at: 00:19:39\n",
            "K-Nearest Neighbors trained at: 00:19:39\n",
            "K-Nearest Neighbors predicted at: 00:19:40\n",
            "K-Nearest Neighbors Accuracy: 0.5407407407407407\n",
            "Logistic Regression started at: 00:19:40\n",
            "Logistic Regression trained at: 00:19:48\n",
            "Logistic Regression predicted at: 00:19:48\n",
            "Logistic Regression Accuracy: 0.7703703703703704\n",
            "Running band 2\n",
            "SVM started at: 00:19:49\n",
            "SVM trained at: 00:19:53\n",
            "SVM predicted at: 00:19:57\n",
            "SVM Accuracy: 0.562962962962963\n",
            "K-Nearest Neighbors started at: 00:19:57\n",
            "K-Nearest Neighbors trained at: 00:19:57\n",
            "K-Nearest Neighbors predicted at: 00:19:57\n",
            "K-Nearest Neighbors Accuracy: 0.5185185185185185\n",
            "Logistic Regression started at: 00:19:57\n",
            "Logistic Regression trained at: 00:20:05\n",
            "Logistic Regression predicted at: 00:20:05\n",
            "Logistic Regression Accuracy: 0.8074074074074075\n",
            "Running band 3\n",
            "SVM started at: 00:20:06\n",
            "SVM trained at: 00:20:11\n",
            "SVM predicted at: 00:20:15\n",
            "SVM Accuracy: 0.4444444444444444\n",
            "K-Nearest Neighbors started at: 00:20:15\n",
            "K-Nearest Neighbors trained at: 00:20:15\n",
            "K-Nearest Neighbors predicted at: 00:20:15\n",
            "K-Nearest Neighbors Accuracy: 0.48148148148148145\n",
            "Logistic Regression started at: 00:20:16\n",
            "Logistic Regression trained at: 00:20:24\n",
            "Logistic Regression predicted at: 00:20:24\n",
            "Logistic Regression Accuracy: 0.6962962962962963\n",
            "Running band 4\n",
            "SVM started at: 00:20:25\n",
            "SVM trained at: 00:20:34\n",
            "SVM predicted at: 00:20:36\n",
            "SVM Accuracy: 0.45925925925925926\n",
            "K-Nearest Neighbors started at: 00:20:36\n",
            "K-Nearest Neighbors trained at: 00:20:36\n",
            "K-Nearest Neighbors predicted at: 00:20:36\n",
            "K-Nearest Neighbors Accuracy: 0.4444444444444444\n",
            "Logistic Regression started at: 00:20:36\n",
            "Logistic Regression trained at: 00:20:47\n",
            "Logistic Regression predicted at: 00:20:47\n",
            "Logistic Regression Accuracy: 0.6\n",
            "Running fold 4\n",
            "Running band 0\n",
            "SVM started at: 00:20:47\n",
            "SVM trained at: 00:20:54\n",
            "SVM predicted at: 00:20:56\n",
            "SVM Accuracy: 0.4962962962962963\n",
            "K-Nearest Neighbors started at: 00:20:56\n",
            "K-Nearest Neighbors trained at: 00:20:56\n",
            "K-Nearest Neighbors predicted at: 00:20:56\n",
            "K-Nearest Neighbors Accuracy: 0.34074074074074073\n",
            "Logistic Regression started at: 00:20:56\n",
            "Logistic Regression trained at: 00:21:07\n",
            "Logistic Regression predicted at: 00:21:07\n",
            "Logistic Regression Accuracy: 0.5481481481481482\n",
            "Running band 1\n",
            "SVM started at: 00:21:07\n",
            "SVM trained at: 00:21:12\n",
            "SVM predicted at: 00:21:14\n",
            "SVM Accuracy: 0.6666666666666666\n",
            "K-Nearest Neighbors started at: 00:21:14\n",
            "K-Nearest Neighbors trained at: 00:21:14\n",
            "K-Nearest Neighbors predicted at: 00:21:14\n",
            "K-Nearest Neighbors Accuracy: 0.5333333333333333\n",
            "Logistic Regression started at: 00:21:14\n",
            "Logistic Regression trained at: 00:21:24\n",
            "Logistic Regression predicted at: 00:21:24\n",
            "Logistic Regression Accuracy: 0.7185185185185186\n",
            "Running band 2\n",
            "SVM started at: 00:21:24\n",
            "SVM trained at: 00:21:30\n",
            "SVM predicted at: 00:21:31\n",
            "SVM Accuracy: 0.562962962962963\n",
            "K-Nearest Neighbors started at: 00:21:32\n",
            "K-Nearest Neighbors trained at: 00:21:32\n",
            "K-Nearest Neighbors predicted at: 00:21:32\n",
            "K-Nearest Neighbors Accuracy: 0.48148148148148145\n",
            "Logistic Regression started at: 00:21:32\n",
            "Logistic Regression trained at: 00:21:43\n",
            "Logistic Regression predicted at: 00:21:43\n",
            "Logistic Regression Accuracy: 0.7481481481481481\n",
            "Running band 3\n",
            "SVM started at: 00:21:43\n",
            "SVM trained at: 00:21:49\n",
            "SVM predicted at: 00:21:53\n",
            "SVM Accuracy: 0.48148148148148145\n",
            "K-Nearest Neighbors started at: 00:21:53\n",
            "K-Nearest Neighbors trained at: 00:21:53\n",
            "K-Nearest Neighbors predicted at: 00:21:54\n",
            "K-Nearest Neighbors Accuracy: 0.42962962962962964\n",
            "Logistic Regression started at: 00:21:54\n",
            "Logistic Regression trained at: 00:22:02\n",
            "Logistic Regression predicted at: 00:22:02\n",
            "Logistic Regression Accuracy: 0.6814814814814815\n",
            "Running band 4\n",
            "SVM started at: 00:22:03\n",
            "SVM trained at: 00:22:11\n",
            "SVM predicted at: 00:22:13\n",
            "SVM Accuracy: 0.42962962962962964\n",
            "K-Nearest Neighbors started at: 00:22:13\n",
            "K-Nearest Neighbors trained at: 00:22:13\n",
            "K-Nearest Neighbors predicted at: 00:22:14\n",
            "K-Nearest Neighbors Accuracy: 0.4666666666666667\n",
            "Logistic Regression started at: 00:22:14\n",
            "Logistic Regression trained at: 00:22:23\n",
            "Logistic Regression predicted at: 00:22:23\n",
            "Logistic Regression Accuracy: 0.7037037037037037\n",
            "\n",
            "\n",
            "Running feature 2:dasm_LDS\n",
            "Running fold 0\n",
            "Running band 0\n",
            "SVM started at: 00:22:23\n",
            "SVM trained at: 00:22:31\n",
            "SVM predicted at: 00:22:33\n",
            "SVM Accuracy: 0.362962962962963\n",
            "K-Nearest Neighbors started at: 00:22:33\n",
            "K-Nearest Neighbors trained at: 00:22:33\n",
            "K-Nearest Neighbors predicted at: 00:22:33\n",
            "K-Nearest Neighbors Accuracy: 0.4\n",
            "Logistic Regression started at: 00:22:33\n",
            "Logistic Regression trained at: 00:22:43\n",
            "Logistic Regression predicted at: 00:22:43\n",
            "Logistic Regression Accuracy: 0.4666666666666667\n",
            "Running band 1\n",
            "SVM started at: 00:22:43\n",
            "SVM trained at: 00:22:49\n",
            "SVM predicted at: 00:22:51\n",
            "SVM Accuracy: 0.4148148148148148\n",
            "K-Nearest Neighbors started at: 00:22:51\n",
            "K-Nearest Neighbors trained at: 00:22:51\n",
            "K-Nearest Neighbors predicted at: 00:22:52\n",
            "K-Nearest Neighbors Accuracy: 0.45925925925925926\n",
            "Logistic Regression started at: 00:22:52\n",
            "Logistic Regression trained at: 00:23:02\n",
            "Logistic Regression predicted at: 00:23:02\n",
            "Logistic Regression Accuracy: 0.6\n",
            "Running band 2\n",
            "SVM started at: 00:23:03\n",
            "SVM trained at: 00:23:09\n",
            "SVM predicted at: 00:23:13\n",
            "SVM Accuracy: 0.3925925925925926\n",
            "K-Nearest Neighbors started at: 00:23:13\n",
            "K-Nearest Neighbors trained at: 00:23:13\n",
            "K-Nearest Neighbors predicted at: 00:23:13\n",
            "K-Nearest Neighbors Accuracy: 0.3925925925925926\n",
            "Logistic Regression started at: 00:23:13\n",
            "Logistic Regression trained at: 00:23:23\n",
            "Logistic Regression predicted at: 00:23:23\n",
            "Logistic Regression Accuracy: 0.6074074074074074\n",
            "Running band 3\n",
            "SVM started at: 00:23:23\n",
            "SVM trained at: 00:23:30\n",
            "SVM predicted at: 00:23:33\n",
            "SVM Accuracy: 0.4\n",
            "K-Nearest Neighbors started at: 00:23:33\n",
            "K-Nearest Neighbors trained at: 00:23:33\n",
            "K-Nearest Neighbors predicted at: 00:23:34\n",
            "K-Nearest Neighbors Accuracy: 0.4\n",
            "Logistic Regression started at: 00:23:34\n",
            "Logistic Regression trained at: 00:23:42\n",
            "Logistic Regression predicted at: 00:23:42\n",
            "Logistic Regression Accuracy: 0.5925925925925926\n",
            "Running band 4\n",
            "SVM started at: 00:23:42\n",
            "SVM trained at: 00:23:50\n",
            "SVM predicted at: 00:23:52\n",
            "SVM Accuracy: 0.3851851851851852\n",
            "K-Nearest Neighbors started at: 00:23:52\n",
            "K-Nearest Neighbors trained at: 00:23:52\n",
            "K-Nearest Neighbors predicted at: 00:23:52\n",
            "K-Nearest Neighbors Accuracy: 0.37777777777777777\n",
            "Logistic Regression started at: 00:23:52\n",
            "Logistic Regression trained at: 00:24:02\n",
            "Logistic Regression predicted at: 00:24:02\n",
            "Logistic Regression Accuracy: 0.6\n",
            "Running fold 1\n",
            "Running band 0\n",
            "SVM started at: 00:24:02\n",
            "SVM trained at: 00:24:09\n",
            "SVM predicted at: 00:24:11\n",
            "SVM Accuracy: 0.35555555555555557\n",
            "K-Nearest Neighbors started at: 00:24:11\n",
            "K-Nearest Neighbors trained at: 00:24:12\n",
            "K-Nearest Neighbors predicted at: 00:24:12\n",
            "K-Nearest Neighbors Accuracy: 0.31851851851851853\n",
            "Logistic Regression started at: 00:24:12\n",
            "Logistic Regression trained at: 00:24:22\n",
            "Logistic Regression predicted at: 00:24:22\n",
            "Logistic Regression Accuracy: 0.5185185185185185\n",
            "Running band 1\n",
            "SVM started at: 00:24:22\n",
            "SVM trained at: 00:24:28\n",
            "SVM predicted at: 00:24:30\n",
            "SVM Accuracy: 0.4074074074074074\n",
            "K-Nearest Neighbors started at: 00:24:30\n",
            "K-Nearest Neighbors trained at: 00:24:30\n",
            "K-Nearest Neighbors predicted at: 00:24:30\n",
            "K-Nearest Neighbors Accuracy: 0.3333333333333333\n",
            "Logistic Regression started at: 00:24:31\n",
            "Logistic Regression trained at: 00:24:41\n",
            "Logistic Regression predicted at: 00:24:41\n",
            "Logistic Regression Accuracy: 0.6296296296296297\n",
            "Running band 2\n",
            "SVM started at: 00:24:41\n",
            "SVM trained at: 00:24:46\n",
            "SVM predicted at: 00:24:50\n",
            "SVM Accuracy: 0.43703703703703706\n",
            "K-Nearest Neighbors started at: 00:24:50\n",
            "K-Nearest Neighbors trained at: 00:24:50\n",
            "K-Nearest Neighbors predicted at: 00:24:50\n",
            "K-Nearest Neighbors Accuracy: 0.4444444444444444\n",
            "Logistic Regression started at: 00:24:50\n",
            "Logistic Regression trained at: 00:25:00\n",
            "Logistic Regression predicted at: 00:25:00\n",
            "Logistic Regression Accuracy: 0.5851851851851851\n",
            "Running band 3\n",
            "SVM started at: 00:25:00\n",
            "SVM trained at: 00:25:08\n",
            "SVM predicted at: 00:25:11\n",
            "SVM Accuracy: 0.4444444444444444\n",
            "K-Nearest Neighbors started at: 00:25:11\n",
            "K-Nearest Neighbors trained at: 00:25:11\n",
            "K-Nearest Neighbors predicted at: 00:25:11\n",
            "K-Nearest Neighbors Accuracy: 0.42962962962962964\n",
            "Logistic Regression started at: 00:25:12\n",
            "Logistic Regression trained at: 00:25:20\n",
            "Logistic Regression predicted at: 00:25:20\n",
            "Logistic Regression Accuracy: 0.5259259259259259\n",
            "Running band 4\n",
            "SVM started at: 00:25:20\n",
            "SVM trained at: 00:25:29\n",
            "SVM predicted at: 00:25:31\n",
            "SVM Accuracy: 0.4740740740740741\n",
            "K-Nearest Neighbors started at: 00:25:31\n",
            "K-Nearest Neighbors trained at: 00:25:31\n",
            "K-Nearest Neighbors predicted at: 00:25:31\n",
            "K-Nearest Neighbors Accuracy: 0.42962962962962964\n",
            "Logistic Regression started at: 00:25:31\n",
            "Logistic Regression trained at: 00:25:41\n",
            "Logistic Regression predicted at: 00:25:41\n",
            "Logistic Regression Accuracy: 0.5037037037037037\n",
            "Running fold 2\n",
            "Running band 0\n",
            "SVM started at: 00:25:42\n",
            "SVM trained at: 00:25:49\n",
            "SVM predicted at: 00:25:50\n",
            "SVM Accuracy: 0.37777777777777777\n",
            "K-Nearest Neighbors started at: 00:25:50\n",
            "K-Nearest Neighbors trained at: 00:25:50\n",
            "K-Nearest Neighbors predicted at: 00:25:51\n",
            "K-Nearest Neighbors Accuracy: 0.3851851851851852\n",
            "Logistic Regression started at: 00:25:51\n",
            "Logistic Regression trained at: 00:26:01\n",
            "Logistic Regression predicted at: 00:26:01\n",
            "Logistic Regression Accuracy: 0.5259259259259259\n",
            "Running band 1\n",
            "SVM started at: 00:26:02\n",
            "SVM trained at: 00:26:08\n",
            "SVM predicted at: 00:26:11\n",
            "SVM Accuracy: 0.4222222222222222\n",
            "K-Nearest Neighbors started at: 00:26:11\n",
            "K-Nearest Neighbors trained at: 00:26:11\n",
            "K-Nearest Neighbors predicted at: 00:26:11\n",
            "K-Nearest Neighbors Accuracy: 0.3851851851851852\n",
            "Logistic Regression started at: 00:26:11\n",
            "Logistic Regression trained at: 00:26:21\n",
            "Logistic Regression predicted at: 00:26:21\n",
            "Logistic Regression Accuracy: 0.7407407407407407\n",
            "Running band 2\n",
            "SVM started at: 00:26:22\n",
            "SVM trained at: 00:26:29\n",
            "SVM predicted at: 00:26:32\n",
            "SVM Accuracy: 0.4074074074074074\n",
            "K-Nearest Neighbors started at: 00:26:33\n",
            "K-Nearest Neighbors trained at: 00:26:33\n",
            "K-Nearest Neighbors predicted at: 00:26:33\n",
            "K-Nearest Neighbors Accuracy: 0.37037037037037035\n",
            "Logistic Regression started at: 00:26:33\n",
            "Logistic Regression trained at: 00:26:42\n",
            "Logistic Regression predicted at: 00:26:42\n",
            "Logistic Regression Accuracy: 0.725925925925926\n",
            "Running band 3\n",
            "SVM started at: 00:26:43\n",
            "SVM trained at: 00:26:51\n",
            "SVM predicted at: 00:26:53\n",
            "SVM Accuracy: 0.3851851851851852\n",
            "K-Nearest Neighbors started at: 00:26:53\n",
            "K-Nearest Neighbors trained at: 00:26:53\n",
            "K-Nearest Neighbors predicted at: 00:26:53\n",
            "K-Nearest Neighbors Accuracy: 0.37037037037037035\n",
            "Logistic Regression started at: 00:26:53\n",
            "Logistic Regression trained at: 00:27:04\n",
            "Logistic Regression predicted at: 00:27:04\n",
            "Logistic Regression Accuracy: 0.5555555555555556\n",
            "Running band 4\n",
            "SVM started at: 00:27:05\n",
            "SVM trained at: 00:27:11\n",
            "SVM predicted at: 00:27:13\n",
            "SVM Accuracy: 0.31851851851851853\n",
            "K-Nearest Neighbors started at: 00:27:13\n",
            "K-Nearest Neighbors trained at: 00:27:13\n",
            "K-Nearest Neighbors predicted at: 00:27:13\n",
            "K-Nearest Neighbors Accuracy: 0.4074074074074074\n",
            "Logistic Regression started at: 00:27:13\n",
            "Logistic Regression trained at: 00:27:24\n",
            "Logistic Regression predicted at: 00:27:24\n",
            "Logistic Regression Accuracy: 0.5407407407407407\n",
            "Running fold 3\n",
            "Running band 0\n",
            "SVM started at: 00:27:24\n",
            "SVM trained at: 00:27:30\n",
            "SVM predicted at: 00:27:35\n",
            "SVM Accuracy: 0.32592592592592595\n",
            "K-Nearest Neighbors started at: 00:27:35\n",
            "K-Nearest Neighbors trained at: 00:27:35\n",
            "K-Nearest Neighbors predicted at: 00:27:35\n",
            "K-Nearest Neighbors Accuracy: 0.32592592592592595\n",
            "Logistic Regression started at: 00:27:35\n",
            "Logistic Regression trained at: 00:27:45\n",
            "Logistic Regression predicted at: 00:27:45\n",
            "Logistic Regression Accuracy: 0.4148148148148148\n",
            "Running band 1\n",
            "SVM started at: 00:27:45\n",
            "SVM trained at: 00:27:54\n",
            "SVM predicted at: 00:27:56\n",
            "SVM Accuracy: 0.3851851851851852\n",
            "K-Nearest Neighbors started at: 00:27:56\n",
            "K-Nearest Neighbors trained at: 00:27:56\n",
            "K-Nearest Neighbors predicted at: 00:27:56\n",
            "K-Nearest Neighbors Accuracy: 0.3851851851851852\n",
            "Logistic Regression started at: 00:27:56\n",
            "Logistic Regression trained at: 00:28:05\n",
            "Logistic Regression predicted at: 00:28:05\n",
            "Logistic Regression Accuracy: 0.6370370370370371\n",
            "Running band 2\n",
            "SVM started at: 00:28:06\n",
            "SVM trained at: 00:28:13\n",
            "SVM predicted at: 00:28:15\n",
            "SVM Accuracy: 0.4\n",
            "K-Nearest Neighbors started at: 00:28:15\n",
            "K-Nearest Neighbors trained at: 00:28:15\n",
            "K-Nearest Neighbors predicted at: 00:28:16\n",
            "K-Nearest Neighbors Accuracy: 0.4\n",
            "Logistic Regression started at: 00:28:16\n",
            "Logistic Regression trained at: 00:28:27\n",
            "Logistic Regression predicted at: 00:28:27\n",
            "Logistic Regression Accuracy: 0.5111111111111111\n",
            "Running band 3\n",
            "SVM started at: 00:28:27\n",
            "SVM trained at: 00:28:34\n",
            "SVM predicted at: 00:28:35\n",
            "SVM Accuracy: 0.37777777777777777\n",
            "K-Nearest Neighbors started at: 00:28:36\n",
            "K-Nearest Neighbors trained at: 00:28:36\n",
            "K-Nearest Neighbors predicted at: 00:28:36\n",
            "K-Nearest Neighbors Accuracy: 0.37777777777777777\n",
            "Logistic Regression started at: 00:28:36\n",
            "Logistic Regression trained at: 00:28:46\n",
            "Logistic Regression predicted at: 00:28:46\n",
            "Logistic Regression Accuracy: 0.3925925925925926\n",
            "Running band 4\n",
            "SVM started at: 00:28:46\n",
            "SVM trained at: 00:28:54\n",
            "SVM predicted at: 00:28:58\n",
            "SVM Accuracy: 0.34814814814814815\n",
            "K-Nearest Neighbors started at: 00:28:58\n",
            "K-Nearest Neighbors trained at: 00:28:58\n",
            "K-Nearest Neighbors predicted at: 00:28:58\n",
            "K-Nearest Neighbors Accuracy: 0.3851851851851852\n",
            "Logistic Regression started at: 00:28:59\n",
            "Logistic Regression trained at: 00:29:08\n",
            "Logistic Regression predicted at: 00:29:08\n",
            "Logistic Regression Accuracy: 0.37777777777777777\n",
            "Running fold 4\n",
            "Running band 0\n",
            "SVM started at: 00:29:08\n",
            "SVM trained at: 00:29:16\n",
            "SVM predicted at: 00:29:18\n",
            "SVM Accuracy: 0.37777777777777777\n",
            "K-Nearest Neighbors started at: 00:29:18\n",
            "K-Nearest Neighbors trained at: 00:29:18\n",
            "K-Nearest Neighbors predicted at: 00:29:18\n",
            "K-Nearest Neighbors Accuracy: 0.31851851851851853\n",
            "Logistic Regression started at: 00:29:18\n",
            "Logistic Regression trained at: 00:29:29\n",
            "Logistic Regression predicted at: 00:29:29\n",
            "Logistic Regression Accuracy: 0.42962962962962964\n",
            "Running band 1\n",
            "SVM started at: 00:29:29\n",
            "SVM trained at: 00:29:36\n",
            "SVM predicted at: 00:29:37\n",
            "SVM Accuracy: 0.4444444444444444\n",
            "K-Nearest Neighbors started at: 00:29:38\n",
            "K-Nearest Neighbors trained at: 00:29:38\n",
            "K-Nearest Neighbors predicted at: 00:29:38\n",
            "K-Nearest Neighbors Accuracy: 0.4\n",
            "Logistic Regression started at: 00:29:38\n",
            "Logistic Regression trained at: 00:29:49\n",
            "Logistic Regression predicted at: 00:29:49\n",
            "Logistic Regression Accuracy: 0.6962962962962963\n",
            "Running band 2\n",
            "SVM started at: 00:29:49\n",
            "SVM trained at: 00:29:54\n",
            "SVM predicted at: 00:29:56\n",
            "SVM Accuracy: 0.3851851851851852\n",
            "K-Nearest Neighbors started at: 00:29:56\n",
            "K-Nearest Neighbors trained at: 00:29:56\n",
            "K-Nearest Neighbors predicted at: 00:29:57\n",
            "K-Nearest Neighbors Accuracy: 0.35555555555555557\n",
            "Logistic Regression started at: 00:29:57\n",
            "Logistic Regression trained at: 00:30:08\n",
            "Logistic Regression predicted at: 00:30:08\n",
            "Logistic Regression Accuracy: 0.674074074074074\n",
            "Running band 3\n",
            "SVM started at: 00:30:08\n",
            "SVM trained at: 00:30:15\n",
            "SVM predicted at: 00:30:19\n",
            "SVM Accuracy: 0.35555555555555557\n",
            "K-Nearest Neighbors started at: 00:30:19\n",
            "K-Nearest Neighbors trained at: 00:30:19\n",
            "K-Nearest Neighbors predicted at: 00:30:19\n",
            "K-Nearest Neighbors Accuracy: 0.3925925925925926\n",
            "Logistic Regression started at: 00:30:20\n",
            "Logistic Regression trained at: 00:30:28\n",
            "Logistic Regression predicted at: 00:30:28\n",
            "Logistic Regression Accuracy: 0.5703703703703704\n",
            "Running band 4\n",
            "SVM started at: 00:30:28\n",
            "SVM trained at: 00:30:37\n",
            "SVM predicted at: 00:30:39\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 00:30:39\n",
            "K-Nearest Neighbors trained at: 00:30:39\n",
            "K-Nearest Neighbors predicted at: 00:30:39\n",
            "K-Nearest Neighbors Accuracy: 0.4074074074074074\n",
            "Logistic Regression started at: 00:30:39\n",
            "Logistic Regression trained at: 00:30:49\n",
            "Logistic Regression predicted at: 00:30:49\n",
            "Logistic Regression Accuracy: 0.5481481481481482\n",
            "\n",
            "\n",
            "Running feature 3:dasm_movingAve\n",
            "Running fold 0\n",
            "Running band 0\n",
            "SVM started at: 00:30:50\n",
            "SVM trained at: 00:30:57\n",
            "SVM predicted at: 00:30:59\n",
            "SVM Accuracy: 0.45185185185185184\n",
            "K-Nearest Neighbors started at: 00:31:00\n",
            "K-Nearest Neighbors trained at: 00:31:00\n",
            "K-Nearest Neighbors predicted at: 00:31:00\n",
            "K-Nearest Neighbors Accuracy: 0.3333333333333333\n",
            "Logistic Regression started at: 00:31:00\n",
            "Logistic Regression trained at: 00:31:11\n",
            "Logistic Regression predicted at: 00:31:11\n",
            "Logistic Regression Accuracy: 0.43703703703703706\n",
            "Running band 1\n",
            "SVM started at: 00:31:11\n",
            "SVM trained at: 00:31:17\n",
            "SVM predicted at: 00:31:20\n",
            "SVM Accuracy: 0.43703703703703706\n",
            "K-Nearest Neighbors started at: 00:31:20\n",
            "K-Nearest Neighbors trained at: 00:31:20\n",
            "K-Nearest Neighbors predicted at: 00:31:20\n",
            "K-Nearest Neighbors Accuracy: 0.362962962962963\n",
            "Logistic Regression started at: 00:31:20\n",
            "Logistic Regression trained at: 00:31:30\n",
            "Logistic Regression predicted at: 00:31:30\n",
            "Logistic Regression Accuracy: 0.5037037037037037\n",
            "Running band 2\n",
            "SVM started at: 00:31:31\n",
            "SVM trained at: 00:31:39\n",
            "SVM predicted at: 00:31:43\n",
            "SVM Accuracy: 0.4\n",
            "K-Nearest Neighbors started at: 00:31:43\n",
            "K-Nearest Neighbors trained at: 00:31:43\n",
            "K-Nearest Neighbors predicted at: 00:31:43\n",
            "K-Nearest Neighbors Accuracy: 0.3925925925925926\n",
            "Logistic Regression started at: 00:31:43\n",
            "Logistic Regression trained at: 00:31:52\n",
            "Logistic Regression predicted at: 00:31:52\n",
            "Logistic Regression Accuracy: 0.5481481481481482\n",
            "Running band 3\n",
            "SVM started at: 00:31:52\n",
            "SVM trained at: 00:32:00\n",
            "SVM predicted at: 00:32:02\n",
            "SVM Accuracy: 0.37777777777777777\n",
            "K-Nearest Neighbors started at: 00:32:02\n",
            "K-Nearest Neighbors trained at: 00:32:02\n",
            "K-Nearest Neighbors predicted at: 00:32:02\n",
            "K-Nearest Neighbors Accuracy: 0.37037037037037035\n",
            "Logistic Regression started at: 00:32:02\n",
            "Logistic Regression trained at: 00:32:11\n",
            "Logistic Regression predicted at: 00:32:11\n",
            "Logistic Regression Accuracy: 0.5407407407407407\n",
            "Running band 4\n",
            "SVM started at: 00:32:12\n",
            "SVM trained at: 00:32:19\n",
            "SVM predicted at: 00:32:20\n",
            "SVM Accuracy: 0.3851851851851852\n",
            "K-Nearest Neighbors started at: 00:32:21\n",
            "K-Nearest Neighbors trained at: 00:32:21\n",
            "K-Nearest Neighbors predicted at: 00:32:21\n",
            "K-Nearest Neighbors Accuracy: 0.3925925925925926\n",
            "Logistic Regression started at: 00:32:21\n",
            "Logistic Regression trained at: 00:32:30\n",
            "Logistic Regression predicted at: 00:32:30\n",
            "Logistic Regression Accuracy: 0.5333333333333333\n",
            "Running fold 1\n",
            "Running band 0\n",
            "SVM started at: 00:32:31\n",
            "SVM trained at: 00:32:36\n",
            "SVM predicted at: 00:32:38\n",
            "SVM Accuracy: 0.35555555555555557\n",
            "K-Nearest Neighbors started at: 00:32:38\n",
            "K-Nearest Neighbors trained at: 00:32:38\n",
            "K-Nearest Neighbors predicted at: 00:32:38\n",
            "K-Nearest Neighbors Accuracy: 0.34814814814814815\n",
            "Logistic Regression started at: 00:32:38\n",
            "Logistic Regression trained at: 00:32:49\n",
            "Logistic Regression predicted at: 00:32:49\n",
            "Logistic Regression Accuracy: 0.34814814814814815\n",
            "Running band 1\n",
            "SVM started at: 00:32:49\n",
            "SVM trained at: 00:32:55\n",
            "SVM predicted at: 00:32:58\n",
            "SVM Accuracy: 0.4148148148148148\n",
            "K-Nearest Neighbors started at: 00:32:58\n",
            "K-Nearest Neighbors trained at: 00:32:58\n",
            "K-Nearest Neighbors predicted at: 00:32:58\n",
            "K-Nearest Neighbors Accuracy: 0.37037037037037035\n",
            "Logistic Regression started at: 00:32:58\n",
            "Logistic Regression trained at: 00:33:08\n",
            "Logistic Regression predicted at: 00:33:08\n",
            "Logistic Regression Accuracy: 0.4740740740740741\n",
            "Running band 2\n",
            "SVM started at: 00:33:09\n",
            "SVM trained at: 00:33:15\n",
            "SVM predicted at: 00:33:19\n",
            "SVM Accuracy: 0.4222222222222222\n",
            "K-Nearest Neighbors started at: 00:33:20\n",
            "K-Nearest Neighbors trained at: 00:33:20\n",
            "K-Nearest Neighbors predicted at: 00:33:20\n",
            "K-Nearest Neighbors Accuracy: 0.3851851851851852\n",
            "Logistic Regression started at: 00:33:20\n",
            "Logistic Regression trained at: 00:33:29\n",
            "Logistic Regression predicted at: 00:33:29\n",
            "Logistic Regression Accuracy: 0.5407407407407407\n",
            "Running band 3\n",
            "SVM started at: 00:33:29\n",
            "SVM trained at: 00:33:37\n",
            "SVM predicted at: 00:33:39\n",
            "SVM Accuracy: 0.4\n",
            "K-Nearest Neighbors started at: 00:33:39\n",
            "K-Nearest Neighbors trained at: 00:33:39\n",
            "K-Nearest Neighbors predicted at: 00:33:39\n",
            "K-Nearest Neighbors Accuracy: 0.37777777777777777\n",
            "Logistic Regression started at: 00:33:39\n",
            "Logistic Regression trained at: 00:33:48\n",
            "Logistic Regression predicted at: 00:33:48\n",
            "Logistic Regression Accuracy: 0.5037037037037037\n",
            "Running band 4\n",
            "SVM started at: 00:33:49\n",
            "SVM trained at: 00:33:56\n",
            "SVM predicted at: 00:33:58\n",
            "SVM Accuracy: 0.4148148148148148\n",
            "K-Nearest Neighbors started at: 00:33:58\n",
            "K-Nearest Neighbors trained at: 00:33:58\n",
            "K-Nearest Neighbors predicted at: 00:33:58\n",
            "K-Nearest Neighbors Accuracy: 0.4444444444444444\n",
            "Logistic Regression started at: 00:33:58\n",
            "Logistic Regression trained at: 00:34:09\n",
            "Logistic Regression predicted at: 00:34:09\n",
            "Logistic Regression Accuracy: 0.4444444444444444\n",
            "Running fold 2\n",
            "Running band 0\n",
            "SVM started at: 00:34:09\n",
            "SVM trained at: 00:34:15\n",
            "SVM predicted at: 00:34:16\n",
            "SVM Accuracy: 0.43703703703703706\n",
            "K-Nearest Neighbors started at: 00:34:16\n",
            "K-Nearest Neighbors trained at: 00:34:16\n",
            "K-Nearest Neighbors predicted at: 00:34:17\n",
            "K-Nearest Neighbors Accuracy: 0.34074074074074073\n",
            "Logistic Regression started at: 00:34:17\n",
            "Logistic Regression trained at: 00:34:27\n",
            "Logistic Regression predicted at: 00:34:27\n",
            "Logistic Regression Accuracy: 0.4148148148148148\n",
            "Running band 1\n",
            "SVM started at: 00:34:28\n",
            "SVM trained at: 00:34:33\n",
            "SVM predicted at: 00:34:36\n",
            "SVM Accuracy: 0.45185185185185184\n",
            "K-Nearest Neighbors started at: 00:34:37\n",
            "K-Nearest Neighbors trained at: 00:34:37\n",
            "K-Nearest Neighbors predicted at: 00:34:37\n",
            "K-Nearest Neighbors Accuracy: 0.362962962962963\n",
            "Logistic Regression started at: 00:34:37\n",
            "Logistic Regression trained at: 00:34:47\n",
            "Logistic Regression predicted at: 00:34:47\n",
            "Logistic Regression Accuracy: 0.6592592592592592\n",
            "Running band 2\n",
            "SVM started at: 00:34:47\n",
            "SVM trained at: 00:34:57\n",
            "SVM predicted at: 00:34:59\n",
            "SVM Accuracy: 0.45185185185185184\n",
            "K-Nearest Neighbors started at: 00:34:59\n",
            "K-Nearest Neighbors trained at: 00:34:59\n",
            "K-Nearest Neighbors predicted at: 00:35:00\n",
            "K-Nearest Neighbors Accuracy: 0.37037037037037035\n",
            "Logistic Regression started at: 00:35:00\n",
            "Logistic Regression trained at: 00:35:09\n",
            "Logistic Regression predicted at: 00:35:09\n",
            "Logistic Regression Accuracy: 0.5777777777777777\n",
            "Running band 3\n",
            "SVM started at: 00:35:09\n",
            "SVM trained at: 00:35:17\n",
            "SVM predicted at: 00:35:18\n",
            "SVM Accuracy: 0.37777777777777777\n",
            "K-Nearest Neighbors started at: 00:35:18\n",
            "K-Nearest Neighbors trained at: 00:35:18\n",
            "K-Nearest Neighbors predicted at: 00:35:19\n",
            "K-Nearest Neighbors Accuracy: 0.4222222222222222\n",
            "Logistic Regression started at: 00:35:19\n",
            "Logistic Regression trained at: 00:35:29\n",
            "Logistic Regression predicted at: 00:35:29\n",
            "Logistic Regression Accuracy: 0.5703703703703704\n",
            "Running band 4\n",
            "SVM started at: 00:35:30\n",
            "SVM trained at: 00:35:35\n",
            "SVM predicted at: 00:35:37\n",
            "SVM Accuracy: 0.34074074074074073\n",
            "K-Nearest Neighbors started at: 00:35:37\n",
            "K-Nearest Neighbors trained at: 00:35:37\n",
            "K-Nearest Neighbors predicted at: 00:35:37\n",
            "K-Nearest Neighbors Accuracy: 0.32592592592592595\n",
            "Logistic Regression started at: 00:35:37\n",
            "Logistic Regression trained at: 00:35:48\n",
            "Logistic Regression predicted at: 00:35:48\n",
            "Logistic Regression Accuracy: 0.5333333333333333\n",
            "Running fold 3\n",
            "Running band 0\n",
            "SVM started at: 00:35:48\n",
            "SVM trained at: 00:35:55\n",
            "SVM predicted at: 00:35:57\n",
            "SVM Accuracy: 0.37037037037037035\n",
            "K-Nearest Neighbors started at: 00:35:57\n",
            "K-Nearest Neighbors trained at: 00:35:57\n",
            "K-Nearest Neighbors predicted at: 00:35:58\n",
            "K-Nearest Neighbors Accuracy: 0.34074074074074073\n",
            "Logistic Regression started at: 00:35:58\n",
            "Logistic Regression trained at: 00:36:08\n",
            "Logistic Regression predicted at: 00:36:08\n",
            "Logistic Regression Accuracy: 0.3333333333333333\n",
            "Running band 1\n",
            "SVM started at: 00:36:08\n",
            "SVM trained at: 00:36:15\n",
            "SVM predicted at: 00:36:19\n",
            "SVM Accuracy: 0.4148148148148148\n",
            "K-Nearest Neighbors started at: 00:36:19\n",
            "K-Nearest Neighbors trained at: 00:36:19\n",
            "K-Nearest Neighbors predicted at: 00:36:20\n",
            "K-Nearest Neighbors Accuracy: 0.4074074074074074\n",
            "Logistic Regression started at: 00:36:20\n",
            "Logistic Regression trained at: 00:36:28\n",
            "Logistic Regression predicted at: 00:36:28\n",
            "Logistic Regression Accuracy: 0.5481481481481482\n",
            "Running band 2\n",
            "SVM started at: 00:36:28\n",
            "SVM trained at: 00:36:37\n",
            "SVM predicted at: 00:36:39\n",
            "SVM Accuracy: 0.34814814814814815\n",
            "K-Nearest Neighbors started at: 00:36:39\n",
            "K-Nearest Neighbors trained at: 00:36:39\n",
            "K-Nearest Neighbors predicted at: 00:36:39\n",
            "K-Nearest Neighbors Accuracy: 0.3851851851851852\n",
            "Logistic Regression started at: 00:36:39\n",
            "Logistic Regression trained at: 00:36:50\n",
            "Logistic Regression predicted at: 00:36:50\n",
            "Logistic Regression Accuracy: 0.5777777777777777\n",
            "Running band 3\n",
            "SVM started at: 00:36:50\n",
            "SVM trained at: 00:36:56\n",
            "SVM predicted at: 00:36:58\n",
            "SVM Accuracy: 0.3851851851851852\n",
            "K-Nearest Neighbors started at: 00:36:58\n",
            "K-Nearest Neighbors trained at: 00:36:58\n",
            "K-Nearest Neighbors predicted at: 00:36:59\n",
            "K-Nearest Neighbors Accuracy: 0.3925925925925926\n",
            "Logistic Regression started at: 00:36:59\n",
            "Logistic Regression trained at: 00:37:09\n",
            "Logistic Regression predicted at: 00:37:09\n",
            "Logistic Regression Accuracy: 0.4148148148148148\n",
            "Running band 4\n",
            "SVM started at: 00:37:09\n",
            "SVM trained at: 00:37:15\n",
            "SVM predicted at: 00:37:17\n",
            "SVM Accuracy: 0.34074074074074073\n",
            "K-Nearest Neighbors started at: 00:37:17\n",
            "K-Nearest Neighbors trained at: 00:37:17\n",
            "K-Nearest Neighbors predicted at: 00:37:17\n",
            "K-Nearest Neighbors Accuracy: 0.4\n",
            "Logistic Regression started at: 00:37:18\n",
            "Logistic Regression trained at: 00:37:28\n",
            "Logistic Regression predicted at: 00:37:28\n",
            "Logistic Regression Accuracy: 0.37777777777777777\n",
            "Running fold 4\n",
            "Running band 0\n",
            "SVM started at: 00:37:28\n",
            "SVM trained at: 00:37:34\n",
            "SVM predicted at: 00:37:38\n",
            "SVM Accuracy: 0.4074074074074074\n",
            "K-Nearest Neighbors started at: 00:37:39\n",
            "K-Nearest Neighbors trained at: 00:37:39\n",
            "K-Nearest Neighbors predicted at: 00:37:39\n",
            "K-Nearest Neighbors Accuracy: 0.3333333333333333\n",
            "Logistic Regression started at: 00:37:39\n",
            "Logistic Regression trained at: 00:37:48\n",
            "Logistic Regression predicted at: 00:37:48\n",
            "Logistic Regression Accuracy: 0.4148148148148148\n",
            "Running band 1\n",
            "SVM started at: 00:37:48\n",
            "SVM trained at: 00:37:56\n",
            "SVM predicted at: 00:37:58\n",
            "SVM Accuracy: 0.4888888888888889\n",
            "K-Nearest Neighbors started at: 00:37:58\n",
            "K-Nearest Neighbors trained at: 00:37:58\n",
            "K-Nearest Neighbors predicted at: 00:37:58\n",
            "K-Nearest Neighbors Accuracy: 0.4074074074074074\n",
            "Logistic Regression started at: 00:37:59\n",
            "Logistic Regression trained at: 00:38:08\n",
            "Logistic Regression predicted at: 00:38:08\n",
            "Logistic Regression Accuracy: 0.5703703703703704\n",
            "Running band 2\n",
            "SVM started at: 00:38:08\n",
            "SVM trained at: 00:38:15\n",
            "SVM predicted at: 00:38:17\n",
            "SVM Accuracy: 0.4074074074074074\n",
            "K-Nearest Neighbors started at: 00:38:17\n",
            "K-Nearest Neighbors trained at: 00:38:17\n",
            "K-Nearest Neighbors predicted at: 00:38:17\n",
            "K-Nearest Neighbors Accuracy: 0.34814814814814815\n",
            "Logistic Regression started at: 00:38:17\n",
            "Logistic Regression trained at: 00:38:27\n",
            "Logistic Regression predicted at: 00:38:27\n",
            "Logistic Regression Accuracy: 0.6148148148148148\n",
            "Running band 3\n",
            "SVM started at: 00:38:28\n",
            "SVM trained at: 00:38:33\n",
            "SVM predicted at: 00:38:35\n",
            "SVM Accuracy: 0.37037037037037035\n",
            "K-Nearest Neighbors started at: 00:38:35\n",
            "K-Nearest Neighbors trained at: 00:38:35\n",
            "K-Nearest Neighbors predicted at: 00:38:35\n",
            "K-Nearest Neighbors Accuracy: 0.35555555555555557\n",
            "Logistic Regression started at: 00:38:36\n",
            "Logistic Regression trained at: 00:38:46\n",
            "Logistic Regression predicted at: 00:38:46\n",
            "Logistic Regression Accuracy: 0.4888888888888889\n",
            "Running band 4\n",
            "SVM started at: 00:38:46\n",
            "SVM trained at: 00:38:53\n",
            "SVM predicted at: 00:38:55\n",
            "SVM Accuracy: 0.35555555555555557\n",
            "K-Nearest Neighbors started at: 00:38:55\n",
            "K-Nearest Neighbors trained at: 00:38:55\n",
            "K-Nearest Neighbors predicted at: 00:38:55\n",
            "K-Nearest Neighbors Accuracy: 0.4074074074074074\n",
            "Logistic Regression started at: 00:38:55\n",
            "Logistic Regression trained at: 00:39:06\n",
            "Logistic Regression predicted at: 00:39:06\n",
            "Logistic Regression Accuracy: 0.5851851851851851\n",
            "\n",
            "\n",
            "Running feature 4:dcau_LDS\n",
            "Running fold 0\n",
            "Running band 0\n",
            "SVM started at: 00:39:06\n",
            "SVM trained at: 00:39:13\n",
            "SVM predicted at: 00:39:17\n",
            "SVM Accuracy: 0.5851851851851851\n",
            "K-Nearest Neighbors started at: 00:39:17\n",
            "K-Nearest Neighbors trained at: 00:39:17\n",
            "K-Nearest Neighbors predicted at: 00:39:18\n",
            "K-Nearest Neighbors Accuracy: 0.5111111111111111\n",
            "Logistic Regression started at: 00:39:18\n",
            "Logistic Regression trained at: 00:39:26\n",
            "Logistic Regression predicted at: 00:39:26\n",
            "Logistic Regression Accuracy: 0.7703703703703704\n",
            "Running band 1\n",
            "SVM started at: 00:39:26\n",
            "SVM trained at: 00:39:34\n",
            "SVM predicted at: 00:39:36\n",
            "SVM Accuracy: 0.5037037037037037\n",
            "K-Nearest Neighbors started at: 00:39:36\n",
            "K-Nearest Neighbors trained at: 00:39:36\n",
            "K-Nearest Neighbors predicted at: 00:39:36\n",
            "K-Nearest Neighbors Accuracy: 0.5111111111111111\n",
            "Logistic Regression started at: 00:39:36\n",
            "Logistic Regression trained at: 00:39:46\n",
            "Logistic Regression predicted at: 00:39:46\n",
            "Logistic Regression Accuracy: 0.7777777777777778\n",
            "Running band 2\n",
            "SVM started at: 00:39:46\n",
            "SVM trained at: 00:39:54\n",
            "SVM predicted at: 00:39:56\n",
            "SVM Accuracy: 0.5777777777777777\n",
            "K-Nearest Neighbors started at: 00:39:56\n",
            "K-Nearest Neighbors trained at: 00:39:56\n",
            "K-Nearest Neighbors predicted at: 00:39:56\n",
            "K-Nearest Neighbors Accuracy: 0.4666666666666667\n",
            "Logistic Regression started at: 00:39:56\n",
            "Logistic Regression trained at: 00:40:06\n",
            "Logistic Regression predicted at: 00:40:06\n",
            "Logistic Regression Accuracy: 0.762962962962963\n",
            "Running band 3\n",
            "SVM started at: 00:40:07\n",
            "SVM trained at: 00:40:12\n",
            "SVM predicted at: 00:40:14\n",
            "SVM Accuracy: 0.4962962962962963\n",
            "K-Nearest Neighbors started at: 00:40:14\n",
            "K-Nearest Neighbors trained at: 00:40:14\n",
            "K-Nearest Neighbors predicted at: 00:40:14\n",
            "K-Nearest Neighbors Accuracy: 0.4148148148148148\n",
            "Logistic Regression started at: 00:40:15\n",
            "Logistic Regression trained at: 00:40:25\n",
            "Logistic Regression predicted at: 00:40:26\n",
            "Logistic Regression Accuracy: 0.837037037037037\n",
            "Running band 4\n",
            "SVM started at: 00:40:26\n",
            "SVM trained at: 00:40:31\n",
            "SVM predicted at: 00:40:35\n",
            "SVM Accuracy: 0.6074074074074074\n",
            "K-Nearest Neighbors started at: 00:40:35\n",
            "K-Nearest Neighbors trained at: 00:40:35\n",
            "K-Nearest Neighbors predicted at: 00:40:35\n",
            "K-Nearest Neighbors Accuracy: 0.3925925925925926\n",
            "Logistic Regression started at: 00:40:35\n",
            "Logistic Regression trained at: 00:40:45\n",
            "Logistic Regression predicted at: 00:40:45\n",
            "Logistic Regression Accuracy: 0.8074074074074075\n",
            "Running fold 1\n",
            "Running band 0\n",
            "SVM started at: 00:40:45\n",
            "SVM trained at: 00:40:53\n",
            "SVM predicted at: 00:40:56\n",
            "SVM Accuracy: 0.45185185185185184\n",
            "K-Nearest Neighbors started at: 00:40:56\n",
            "K-Nearest Neighbors trained at: 00:40:56\n",
            "K-Nearest Neighbors predicted at: 00:40:56\n",
            "K-Nearest Neighbors Accuracy: 0.42962962962962964\n",
            "Logistic Regression started at: 00:40:57\n",
            "Logistic Regression trained at: 00:41:05\n",
            "Logistic Regression predicted at: 00:41:05\n",
            "Logistic Regression Accuracy: 0.6444444444444445\n",
            "Running band 1\n",
            "SVM started at: 00:41:06\n",
            "SVM trained at: 00:41:14\n",
            "SVM predicted at: 00:41:16\n",
            "SVM Accuracy: 0.6444444444444445\n",
            "K-Nearest Neighbors started at: 00:41:16\n",
            "K-Nearest Neighbors trained at: 00:41:16\n",
            "K-Nearest Neighbors predicted at: 00:41:16\n",
            "K-Nearest Neighbors Accuracy: 0.6222222222222222\n",
            "Logistic Regression started at: 00:41:16\n",
            "Logistic Regression trained at: 00:41:27\n",
            "Logistic Regression predicted at: 00:41:27\n",
            "Logistic Regression Accuracy: 0.7851851851851852\n",
            "Running band 2\n",
            "SVM started at: 00:41:27\n",
            "SVM trained at: 00:41:33\n",
            "SVM predicted at: 00:41:35\n",
            "SVM Accuracy: 0.5703703703703704\n",
            "K-Nearest Neighbors started at: 00:41:35\n",
            "K-Nearest Neighbors trained at: 00:41:35\n",
            "K-Nearest Neighbors predicted at: 00:41:36\n",
            "K-Nearest Neighbors Accuracy: 0.4444444444444444\n",
            "Logistic Regression started at: 00:41:36\n",
            "Logistic Regression trained at: 00:41:47\n",
            "Logistic Regression predicted at: 00:41:47\n",
            "Logistic Regression Accuracy: 0.8074074074074075\n",
            "Running band 3\n",
            "SVM started at: 00:41:47\n",
            "SVM trained at: 00:41:53\n",
            "SVM predicted at: 00:41:57\n",
            "SVM Accuracy: 0.5333333333333333\n",
            "K-Nearest Neighbors started at: 00:41:57\n",
            "K-Nearest Neighbors trained at: 00:41:57\n",
            "K-Nearest Neighbors predicted at: 00:41:57\n",
            "K-Nearest Neighbors Accuracy: 0.3925925925925926\n",
            "Logistic Regression started at: 00:41:57\n",
            "Logistic Regression trained at: 00:42:07\n",
            "Logistic Regression predicted at: 00:42:07\n",
            "Logistic Regression Accuracy: 0.6962962962962963\n",
            "Running band 4\n",
            "SVM started at: 00:42:07\n",
            "SVM trained at: 00:42:14\n",
            "SVM predicted at: 00:42:17\n",
            "SVM Accuracy: 0.5111111111111111\n",
            "K-Nearest Neighbors started at: 00:42:17\n",
            "K-Nearest Neighbors trained at: 00:42:17\n",
            "K-Nearest Neighbors predicted at: 00:42:18\n",
            "K-Nearest Neighbors Accuracy: 0.5481481481481482\n",
            "Logistic Regression started at: 00:42:18\n",
            "Logistic Regression trained at: 00:42:27\n",
            "Logistic Regression predicted at: 00:42:27\n",
            "Logistic Regression Accuracy: 0.6888888888888889\n",
            "Running fold 2\n",
            "Running band 0\n",
            "SVM started at: 00:42:27\n",
            "SVM trained at: 00:42:35\n",
            "SVM predicted at: 00:42:37\n",
            "SVM Accuracy: 0.5555555555555556\n",
            "K-Nearest Neighbors started at: 00:42:37\n",
            "K-Nearest Neighbors trained at: 00:42:37\n",
            "K-Nearest Neighbors predicted at: 00:42:37\n",
            "K-Nearest Neighbors Accuracy: 0.4740740740740741\n",
            "Logistic Regression started at: 00:42:38\n",
            "Logistic Regression trained at: 00:42:47\n",
            "Logistic Regression predicted at: 00:42:47\n",
            "Logistic Regression Accuracy: 0.7555555555555555\n",
            "Running band 1\n",
            "SVM started at: 00:42:48\n",
            "SVM trained at: 00:42:54\n",
            "SVM predicted at: 00:42:56\n",
            "SVM Accuracy: 0.6518518518518519\n",
            "K-Nearest Neighbors started at: 00:42:56\n",
            "K-Nearest Neighbors trained at: 00:42:56\n",
            "K-Nearest Neighbors predicted at: 00:42:56\n",
            "K-Nearest Neighbors Accuracy: 0.562962962962963\n",
            "Logistic Regression started at: 00:42:56\n",
            "Logistic Regression trained at: 00:43:06\n",
            "Logistic Regression predicted at: 00:43:06\n",
            "Logistic Regression Accuracy: 0.8518518518518519\n",
            "Running band 2\n",
            "SVM started at: 00:43:06\n",
            "SVM trained at: 00:43:13\n",
            "SVM predicted at: 00:43:15\n",
            "SVM Accuracy: 0.5925925925925926\n",
            "K-Nearest Neighbors started at: 00:43:15\n",
            "K-Nearest Neighbors trained at: 00:43:15\n",
            "K-Nearest Neighbors predicted at: 00:43:16\n",
            "K-Nearest Neighbors Accuracy: 0.48148148148148145\n",
            "Logistic Regression started at: 00:43:16\n",
            "Logistic Regression trained at: 00:43:26\n",
            "Logistic Regression predicted at: 00:43:26\n",
            "Logistic Regression Accuracy: 0.7037037037037037\n",
            "Running band 3\n",
            "SVM started at: 00:43:27\n",
            "SVM trained at: 00:43:32\n",
            "SVM predicted at: 00:43:37\n",
            "SVM Accuracy: 0.5777777777777777\n",
            "K-Nearest Neighbors started at: 00:43:37\n",
            "K-Nearest Neighbors trained at: 00:43:37\n",
            "K-Nearest Neighbors predicted at: 00:43:37\n",
            "K-Nearest Neighbors Accuracy: 0.45925925925925926\n",
            "Logistic Regression started at: 00:43:37\n",
            "Logistic Regression trained at: 00:43:46\n",
            "Logistic Regression predicted at: 00:43:46\n",
            "Logistic Regression Accuracy: 0.7481481481481481\n",
            "Running band 4\n",
            "SVM started at: 00:43:46\n",
            "SVM trained at: 00:43:53\n",
            "SVM predicted at: 00:43:56\n",
            "SVM Accuracy: 0.5777777777777777\n",
            "K-Nearest Neighbors started at: 00:43:56\n",
            "K-Nearest Neighbors trained at: 00:43:56\n",
            "K-Nearest Neighbors predicted at: 00:43:57\n",
            "K-Nearest Neighbors Accuracy: 0.4740740740740741\n",
            "Logistic Regression started at: 00:43:57\n",
            "Logistic Regression trained at: 00:44:04\n",
            "Logistic Regression predicted at: 00:44:04\n",
            "Logistic Regression Accuracy: 0.7407407407407407\n",
            "Running fold 3\n",
            "Running band 0\n",
            "SVM started at: 00:44:05\n",
            "SVM trained at: 00:44:13\n",
            "SVM predicted at: 00:44:15\n",
            "SVM Accuracy: 0.5777777777777777\n",
            "K-Nearest Neighbors started at: 00:44:15\n",
            "K-Nearest Neighbors trained at: 00:44:15\n",
            "K-Nearest Neighbors predicted at: 00:44:15\n",
            "K-Nearest Neighbors Accuracy: 0.5259259259259259\n",
            "Logistic Regression started at: 00:44:15\n",
            "Logistic Regression trained at: 00:44:25\n",
            "Logistic Regression predicted at: 00:44:25\n",
            "Logistic Regression Accuracy: 0.7851851851851852\n",
            "Running band 1\n",
            "SVM started at: 00:44:25\n",
            "SVM trained at: 00:44:31\n",
            "SVM predicted at: 00:44:33\n",
            "SVM Accuracy: 0.4962962962962963\n",
            "K-Nearest Neighbors started at: 00:44:33\n",
            "K-Nearest Neighbors trained at: 00:44:33\n",
            "K-Nearest Neighbors predicted at: 00:44:33\n",
            "K-Nearest Neighbors Accuracy: 0.5481481481481482\n",
            "Logistic Regression started at: 00:44:34\n",
            "Logistic Regression trained at: 00:44:43\n",
            "Logistic Regression predicted at: 00:44:43\n",
            "Logistic Regression Accuracy: 0.7925925925925926\n",
            "Running band 2\n",
            "SVM started at: 00:44:43\n",
            "SVM trained at: 00:44:48\n",
            "SVM predicted at: 00:44:50\n",
            "SVM Accuracy: 0.6148148148148148\n",
            "K-Nearest Neighbors started at: 00:44:50\n",
            "K-Nearest Neighbors trained at: 00:44:50\n",
            "K-Nearest Neighbors predicted at: 00:44:50\n",
            "K-Nearest Neighbors Accuracy: 0.4888888888888889\n",
            "Logistic Regression started at: 00:44:50\n",
            "Logistic Regression trained at: 00:45:00\n",
            "Logistic Regression predicted at: 00:45:00\n",
            "Logistic Regression Accuracy: 0.7333333333333333\n",
            "Running band 3\n",
            "SVM started at: 00:45:00\n",
            "SVM trained at: 00:45:05\n",
            "SVM predicted at: 00:45:06\n",
            "SVM Accuracy: 0.562962962962963\n",
            "K-Nearest Neighbors started at: 00:45:07\n",
            "K-Nearest Neighbors trained at: 00:45:07\n",
            "K-Nearest Neighbors predicted at: 00:45:07\n",
            "K-Nearest Neighbors Accuracy: 0.48148148148148145\n",
            "Logistic Regression started at: 00:45:07\n",
            "Logistic Regression trained at: 00:45:16\n",
            "Logistic Regression predicted at: 00:45:17\n",
            "Logistic Regression Accuracy: 0.7777777777777778\n",
            "Running band 4\n",
            "SVM started at: 00:45:17\n",
            "SVM trained at: 00:45:21\n",
            "SVM predicted at: 00:45:23\n",
            "SVM Accuracy: 0.5703703703703704\n",
            "K-Nearest Neighbors started at: 00:45:23\n",
            "K-Nearest Neighbors trained at: 00:45:23\n",
            "K-Nearest Neighbors predicted at: 00:45:23\n",
            "K-Nearest Neighbors Accuracy: 0.4074074074074074\n",
            "Logistic Regression started at: 00:45:23\n",
            "Logistic Regression trained at: 00:45:33\n",
            "Logistic Regression predicted at: 00:45:33\n",
            "Logistic Regression Accuracy: 0.8074074074074075\n",
            "Running fold 4\n",
            "Running band 0\n",
            "SVM started at: 00:45:33\n",
            "SVM trained at: 00:45:37\n",
            "SVM predicted at: 00:45:39\n",
            "SVM Accuracy: 0.5851851851851851\n",
            "K-Nearest Neighbors started at: 00:45:39\n",
            "K-Nearest Neighbors trained at: 00:45:39\n",
            "K-Nearest Neighbors predicted at: 00:45:39\n",
            "K-Nearest Neighbors Accuracy: 0.5481481481481482\n",
            "Logistic Regression started at: 00:45:39\n",
            "Logistic Regression trained at: 00:45:49\n",
            "Logistic Regression predicted at: 00:45:49\n",
            "Logistic Regression Accuracy: 0.7333333333333333\n",
            "Running band 1\n",
            "SVM started at: 00:45:49\n",
            "SVM trained at: 00:45:54\n",
            "SVM predicted at: 00:45:55\n",
            "SVM Accuracy: 0.6444444444444445\n",
            "K-Nearest Neighbors started at: 00:45:55\n",
            "K-Nearest Neighbors trained at: 00:45:55\n",
            "K-Nearest Neighbors predicted at: 00:45:55\n",
            "K-Nearest Neighbors Accuracy: 0.6222222222222222\n",
            "Logistic Regression started at: 00:45:56\n",
            "Logistic Regression trained at: 00:46:05\n",
            "Logistic Regression predicted at: 00:46:05\n",
            "Logistic Regression Accuracy: 0.8\n",
            "Running band 2\n",
            "SVM started at: 00:46:06\n",
            "SVM trained at: 00:46:10\n",
            "SVM predicted at: 00:46:12\n",
            "SVM Accuracy: 0.5111111111111111\n",
            "K-Nearest Neighbors started at: 00:46:12\n",
            "K-Nearest Neighbors trained at: 00:46:12\n",
            "K-Nearest Neighbors predicted at: 00:46:12\n",
            "K-Nearest Neighbors Accuracy: 0.4148148148148148\n",
            "Logistic Regression started at: 00:46:12\n",
            "Logistic Regression trained at: 00:46:22\n",
            "Logistic Regression predicted at: 00:46:22\n",
            "Logistic Regression Accuracy: 0.7333333333333333\n",
            "Running band 3\n",
            "SVM started at: 00:46:22\n",
            "SVM trained at: 00:46:26\n",
            "SVM predicted at: 00:46:28\n",
            "SVM Accuracy: 0.4888888888888889\n",
            "K-Nearest Neighbors started at: 00:46:28\n",
            "K-Nearest Neighbors trained at: 00:46:28\n",
            "K-Nearest Neighbors predicted at: 00:46:28\n",
            "K-Nearest Neighbors Accuracy: 0.42962962962962964\n",
            "Logistic Regression started at: 00:46:28\n",
            "Logistic Regression trained at: 00:46:38\n",
            "Logistic Regression predicted at: 00:46:38\n",
            "Logistic Regression Accuracy: 0.7777777777777778\n",
            "Running band 4\n",
            "SVM started at: 00:46:39\n",
            "SVM trained at: 00:46:43\n",
            "SVM predicted at: 00:46:45\n",
            "SVM Accuracy: 0.6074074074074074\n",
            "K-Nearest Neighbors started at: 00:46:45\n",
            "K-Nearest Neighbors trained at: 00:46:45\n",
            "K-Nearest Neighbors predicted at: 00:46:45\n",
            "K-Nearest Neighbors Accuracy: 0.4074074074074074\n",
            "Logistic Regression started at: 00:46:45\n",
            "Logistic Regression trained at: 00:46:54\n",
            "Logistic Regression predicted at: 00:46:54\n",
            "Logistic Regression Accuracy: 0.7925925925925926\n",
            "\n",
            "\n",
            "Running feature 5:dcau_movingAve\n",
            "Running fold 0\n",
            "Running band 0\n",
            "SVM started at: 00:46:55\n",
            "SVM trained at: 00:47:00\n",
            "SVM predicted at: 00:47:01\n",
            "SVM Accuracy: 0.6148148148148148\n",
            "K-Nearest Neighbors started at: 00:47:01\n",
            "K-Nearest Neighbors trained at: 00:47:01\n",
            "K-Nearest Neighbors predicted at: 00:47:01\n",
            "K-Nearest Neighbors Accuracy: 0.4962962962962963\n",
            "Logistic Regression started at: 00:47:02\n",
            "Logistic Regression trained at: 00:47:12\n",
            "Logistic Regression predicted at: 00:47:12\n",
            "Logistic Regression Accuracy: 0.6148148148148148\n",
            "Running band 1\n",
            "SVM started at: 00:47:12\n",
            "SVM trained at: 00:47:16\n",
            "SVM predicted at: 00:47:18\n",
            "SVM Accuracy: 0.5481481481481482\n",
            "K-Nearest Neighbors started at: 00:47:18\n",
            "K-Nearest Neighbors trained at: 00:47:18\n",
            "K-Nearest Neighbors predicted at: 00:47:18\n",
            "K-Nearest Neighbors Accuracy: 0.5185185185185185\n",
            "Logistic Regression started at: 00:47:18\n",
            "Logistic Regression trained at: 00:47:28\n",
            "Logistic Regression predicted at: 00:47:28\n",
            "Logistic Regression Accuracy: 0.7777777777777778\n",
            "Running band 2\n",
            "SVM started at: 00:47:28\n",
            "SVM trained at: 00:47:33\n",
            "SVM predicted at: 00:47:34\n",
            "SVM Accuracy: 0.5555555555555556\n",
            "K-Nearest Neighbors started at: 00:47:34\n",
            "K-Nearest Neighbors trained at: 00:47:34\n",
            "K-Nearest Neighbors predicted at: 00:47:35\n",
            "K-Nearest Neighbors Accuracy: 0.5037037037037037\n",
            "Logistic Regression started at: 00:47:35\n",
            "Logistic Regression trained at: 00:47:44\n",
            "Logistic Regression predicted at: 00:47:44\n",
            "Logistic Regression Accuracy: 0.7555555555555555\n",
            "Running band 3\n",
            "SVM started at: 00:47:45\n",
            "SVM trained at: 00:47:49\n",
            "SVM predicted at: 00:47:51\n",
            "SVM Accuracy: 0.4888888888888889\n",
            "K-Nearest Neighbors started at: 00:47:51\n",
            "K-Nearest Neighbors trained at: 00:47:51\n",
            "K-Nearest Neighbors predicted at: 00:47:51\n",
            "K-Nearest Neighbors Accuracy: 0.4074074074074074\n",
            "Logistic Regression started at: 00:47:51\n",
            "Logistic Regression trained at: 00:48:01\n",
            "Logistic Regression predicted at: 00:48:01\n",
            "Logistic Regression Accuracy: 0.7481481481481481\n",
            "Running band 4\n",
            "SVM started at: 00:48:01\n",
            "SVM trained at: 00:48:05\n",
            "SVM predicted at: 00:48:07\n",
            "SVM Accuracy: 0.6074074074074074\n",
            "K-Nearest Neighbors started at: 00:48:07\n",
            "K-Nearest Neighbors trained at: 00:48:07\n",
            "K-Nearest Neighbors predicted at: 00:48:07\n",
            "K-Nearest Neighbors Accuracy: 0.4148148148148148\n",
            "Logistic Regression started at: 00:48:07\n",
            "Logistic Regression trained at: 00:48:17\n",
            "Logistic Regression predicted at: 00:48:17\n",
            "Logistic Regression Accuracy: 0.725925925925926\n",
            "Running fold 1\n",
            "Running band 0\n",
            "SVM started at: 00:48:17\n",
            "SVM trained at: 00:48:22\n",
            "SVM predicted at: 00:48:24\n",
            "SVM Accuracy: 0.45185185185185184\n",
            "K-Nearest Neighbors started at: 00:48:24\n",
            "K-Nearest Neighbors trained at: 00:48:24\n",
            "K-Nearest Neighbors predicted at: 00:48:24\n",
            "K-Nearest Neighbors Accuracy: 0.4148148148148148\n",
            "Logistic Regression started at: 00:48:24\n",
            "Logistic Regression trained at: 00:48:34\n",
            "Logistic Regression predicted at: 00:48:34\n",
            "Logistic Regression Accuracy: 0.5259259259259259\n",
            "Running band 1\n",
            "SVM started at: 00:48:34\n",
            "SVM trained at: 00:48:39\n",
            "SVM predicted at: 00:48:40\n",
            "SVM Accuracy: 0.6814814814814815\n",
            "K-Nearest Neighbors started at: 00:48:41\n",
            "K-Nearest Neighbors trained at: 00:48:41\n",
            "K-Nearest Neighbors predicted at: 00:48:41\n",
            "K-Nearest Neighbors Accuracy: 0.5851851851851851\n",
            "Logistic Regression started at: 00:48:41\n",
            "Logistic Regression trained at: 00:48:50\n",
            "Logistic Regression predicted at: 00:48:50\n",
            "Logistic Regression Accuracy: 0.8\n",
            "Running band 2\n",
            "SVM started at: 00:48:51\n",
            "SVM trained at: 00:48:55\n",
            "SVM predicted at: 00:48:57\n",
            "SVM Accuracy: 0.5555555555555556\n",
            "K-Nearest Neighbors started at: 00:48:57\n",
            "K-Nearest Neighbors trained at: 00:48:57\n",
            "K-Nearest Neighbors predicted at: 00:48:57\n",
            "K-Nearest Neighbors Accuracy: 0.4\n",
            "Logistic Regression started at: 00:48:57\n",
            "Logistic Regression trained at: 00:49:07\n",
            "Logistic Regression predicted at: 00:49:07\n",
            "Logistic Regression Accuracy: 0.7037037037037037\n",
            "Running band 3\n",
            "SVM started at: 00:49:07\n",
            "SVM trained at: 00:49:11\n",
            "SVM predicted at: 00:49:13\n",
            "SVM Accuracy: 0.5333333333333333\n",
            "K-Nearest Neighbors started at: 00:49:13\n",
            "K-Nearest Neighbors trained at: 00:49:13\n",
            "K-Nearest Neighbors predicted at: 00:49:13\n",
            "K-Nearest Neighbors Accuracy: 0.4666666666666667\n",
            "Logistic Regression started at: 00:49:13\n",
            "Logistic Regression trained at: 00:49:23\n",
            "Logistic Regression predicted at: 00:49:23\n",
            "Logistic Regression Accuracy: 0.674074074074074\n",
            "Running band 4\n",
            "SVM started at: 00:49:23\n",
            "SVM trained at: 00:49:28\n",
            "SVM predicted at: 00:49:29\n",
            "SVM Accuracy: 0.5259259259259259\n",
            "K-Nearest Neighbors started at: 00:49:29\n",
            "K-Nearest Neighbors trained at: 00:49:29\n",
            "K-Nearest Neighbors predicted at: 00:49:30\n",
            "K-Nearest Neighbors Accuracy: 0.5037037037037037\n",
            "Logistic Regression started at: 00:49:30\n",
            "Logistic Regression trained at: 00:49:39\n",
            "Logistic Regression predicted at: 00:49:39\n",
            "Logistic Regression Accuracy: 0.7037037037037037\n",
            "Running fold 2\n",
            "Running band 0\n",
            "SVM started at: 00:49:39\n",
            "SVM trained at: 00:49:44\n",
            "SVM predicted at: 00:49:46\n",
            "SVM Accuracy: 0.5259259259259259\n",
            "K-Nearest Neighbors started at: 00:49:46\n",
            "K-Nearest Neighbors trained at: 00:49:46\n",
            "K-Nearest Neighbors predicted at: 00:49:46\n",
            "K-Nearest Neighbors Accuracy: 0.4740740740740741\n",
            "Logistic Regression started at: 00:49:46\n",
            "Logistic Regression trained at: 00:49:56\n",
            "Logistic Regression predicted at: 00:49:56\n",
            "Logistic Regression Accuracy: 0.6888888888888889\n",
            "Running band 1\n",
            "SVM started at: 00:49:56\n",
            "SVM trained at: 00:50:00\n",
            "SVM predicted at: 00:50:02\n",
            "SVM Accuracy: 0.7407407407407407\n",
            "K-Nearest Neighbors started at: 00:50:02\n",
            "K-Nearest Neighbors trained at: 00:50:02\n",
            "K-Nearest Neighbors predicted at: 00:50:02\n",
            "K-Nearest Neighbors Accuracy: 0.6296296296296297\n",
            "Logistic Regression started at: 00:50:02\n",
            "Logistic Regression trained at: 00:50:12\n",
            "Logistic Regression predicted at: 00:50:12\n",
            "Logistic Regression Accuracy: 0.9037037037037037\n",
            "Running band 2\n",
            "SVM started at: 00:50:12\n",
            "SVM trained at: 00:50:17\n",
            "SVM predicted at: 00:50:19\n",
            "SVM Accuracy: 0.6148148148148148\n",
            "K-Nearest Neighbors started at: 00:50:19\n",
            "K-Nearest Neighbors trained at: 00:50:19\n",
            "K-Nearest Neighbors predicted at: 00:50:19\n",
            "K-Nearest Neighbors Accuracy: 0.4888888888888889\n",
            "Logistic Regression started at: 00:50:19\n",
            "Logistic Regression trained at: 00:50:29\n",
            "Logistic Regression predicted at: 00:50:29\n",
            "Logistic Regression Accuracy: 0.6962962962962963\n",
            "Running band 3\n",
            "SVM started at: 00:50:29\n",
            "SVM trained at: 00:50:34\n",
            "SVM predicted at: 00:50:35\n",
            "SVM Accuracy: 0.6\n",
            "K-Nearest Neighbors started at: 00:50:35\n",
            "K-Nearest Neighbors trained at: 00:50:35\n",
            "K-Nearest Neighbors predicted at: 00:50:36\n",
            "K-Nearest Neighbors Accuracy: 0.5037037037037037\n",
            "Logistic Regression started at: 00:50:36\n",
            "Logistic Regression trained at: 00:50:46\n",
            "Logistic Regression predicted at: 00:50:46\n",
            "Logistic Regression Accuracy: 0.7185185185185186\n",
            "Running band 4\n",
            "SVM started at: 00:50:46\n",
            "SVM trained at: 00:50:50\n",
            "SVM predicted at: 00:50:52\n",
            "SVM Accuracy: 0.5703703703703704\n",
            "K-Nearest Neighbors started at: 00:50:52\n",
            "K-Nearest Neighbors trained at: 00:50:52\n",
            "K-Nearest Neighbors predicted at: 00:50:52\n",
            "K-Nearest Neighbors Accuracy: 0.43703703703703706\n",
            "Logistic Regression started at: 00:50:52\n",
            "Logistic Regression trained at: 00:51:02\n",
            "Logistic Regression predicted at: 00:51:02\n",
            "Logistic Regression Accuracy: 0.7333333333333333\n",
            "Running fold 3\n",
            "Running band 0\n",
            "SVM started at: 00:51:02\n",
            "SVM trained at: 00:51:07\n",
            "SVM predicted at: 00:51:09\n",
            "SVM Accuracy: 0.5555555555555556\n",
            "K-Nearest Neighbors started at: 00:51:09\n",
            "K-Nearest Neighbors trained at: 00:51:09\n",
            "K-Nearest Neighbors predicted at: 00:51:09\n",
            "K-Nearest Neighbors Accuracy: 0.48148148148148145\n",
            "Logistic Regression started at: 00:51:09\n",
            "Logistic Regression trained at: 00:51:18\n",
            "Logistic Regression predicted at: 00:51:18\n",
            "Logistic Regression Accuracy: 0.5925925925925926\n",
            "Running band 1\n",
            "SVM started at: 00:51:19\n",
            "SVM trained at: 00:51:23\n",
            "SVM predicted at: 00:51:25\n",
            "SVM Accuracy: 0.5703703703703704\n",
            "K-Nearest Neighbors started at: 00:51:25\n",
            "K-Nearest Neighbors trained at: 00:51:25\n",
            "K-Nearest Neighbors predicted at: 00:51:25\n",
            "K-Nearest Neighbors Accuracy: 0.6\n",
            "Logistic Regression started at: 00:51:25\n",
            "Logistic Regression trained at: 00:51:35\n",
            "Logistic Regression predicted at: 00:51:35\n",
            "Logistic Regression Accuracy: 0.837037037037037\n",
            "Running band 2\n",
            "SVM started at: 00:51:35\n",
            "SVM trained at: 00:51:40\n",
            "SVM predicted at: 00:51:41\n",
            "SVM Accuracy: 0.6370370370370371\n",
            "K-Nearest Neighbors started at: 00:51:42\n",
            "K-Nearest Neighbors trained at: 00:51:42\n",
            "K-Nearest Neighbors predicted at: 00:51:42\n",
            "K-Nearest Neighbors Accuracy: 0.5111111111111111\n",
            "Logistic Regression started at: 00:51:42\n",
            "Logistic Regression trained at: 00:51:51\n",
            "Logistic Regression predicted at: 00:51:51\n",
            "Logistic Regression Accuracy: 0.7481481481481481\n",
            "Running band 3\n",
            "SVM started at: 00:51:52\n",
            "SVM trained at: 00:51:56\n",
            "SVM predicted at: 00:51:58\n",
            "SVM Accuracy: 0.5703703703703704\n",
            "K-Nearest Neighbors started at: 00:51:58\n",
            "K-Nearest Neighbors trained at: 00:51:58\n",
            "K-Nearest Neighbors predicted at: 00:51:58\n",
            "K-Nearest Neighbors Accuracy: 0.5111111111111111\n",
            "Logistic Regression started at: 00:51:58\n",
            "Logistic Regression trained at: 00:52:08\n",
            "Logistic Regression predicted at: 00:52:08\n",
            "Logistic Regression Accuracy: 0.7777777777777778\n",
            "Running band 4\n",
            "SVM started at: 00:52:08\n",
            "SVM trained at: 00:52:13\n",
            "SVM predicted at: 00:52:14\n",
            "SVM Accuracy: 0.6\n",
            "K-Nearest Neighbors started at: 00:52:14\n",
            "K-Nearest Neighbors trained at: 00:52:14\n",
            "K-Nearest Neighbors predicted at: 00:52:14\n",
            "K-Nearest Neighbors Accuracy: 0.4666666666666667\n",
            "Logistic Regression started at: 00:52:14\n",
            "Logistic Regression trained at: 00:52:24\n",
            "Logistic Regression predicted at: 00:52:24\n",
            "Logistic Regression Accuracy: 0.7851851851851852\n",
            "Running fold 4\n",
            "Running band 0\n",
            "SVM started at: 00:52:25\n",
            "SVM trained at: 00:52:29\n",
            "SVM predicted at: 00:52:31\n",
            "SVM Accuracy: 0.5925925925925926\n",
            "K-Nearest Neighbors started at: 00:52:31\n",
            "K-Nearest Neighbors trained at: 00:52:31\n",
            "K-Nearest Neighbors predicted at: 00:52:31\n",
            "K-Nearest Neighbors Accuracy: 0.4148148148148148\n",
            "Logistic Regression started at: 00:52:31\n",
            "Logistic Regression trained at: 00:52:41\n",
            "Logistic Regression predicted at: 00:52:41\n",
            "Logistic Regression Accuracy: 0.6222222222222222\n",
            "Running band 1\n",
            "SVM started at: 00:52:41\n",
            "SVM trained at: 00:52:46\n",
            "SVM predicted at: 00:52:47\n",
            "SVM Accuracy: 0.6814814814814815\n",
            "K-Nearest Neighbors started at: 00:52:47\n",
            "K-Nearest Neighbors trained at: 00:52:47\n",
            "K-Nearest Neighbors predicted at: 00:52:47\n",
            "K-Nearest Neighbors Accuracy: 0.5111111111111111\n",
            "Logistic Regression started at: 00:52:48\n",
            "Logistic Regression trained at: 00:52:57\n",
            "Logistic Regression predicted at: 00:52:57\n",
            "Logistic Regression Accuracy: 0.837037037037037\n",
            "Running band 2\n",
            "SVM started at: 00:52:58\n",
            "SVM trained at: 00:53:02\n",
            "SVM predicted at: 00:53:04\n",
            "SVM Accuracy: 0.5925925925925926\n",
            "K-Nearest Neighbors started at: 00:53:04\n",
            "K-Nearest Neighbors trained at: 00:53:04\n",
            "K-Nearest Neighbors predicted at: 00:53:04\n",
            "K-Nearest Neighbors Accuracy: 0.37777777777777777\n",
            "Logistic Regression started at: 00:53:04\n",
            "Logistic Regression trained at: 00:53:14\n",
            "Logistic Regression predicted at: 00:53:14\n",
            "Logistic Regression Accuracy: 0.7185185185185186\n",
            "Running band 3\n",
            "SVM started at: 00:53:14\n",
            "SVM trained at: 00:53:19\n",
            "SVM predicted at: 00:53:20\n",
            "SVM Accuracy: 0.4962962962962963\n",
            "K-Nearest Neighbors started at: 00:53:20\n",
            "K-Nearest Neighbors trained at: 00:53:20\n",
            "K-Nearest Neighbors predicted at: 00:53:21\n",
            "K-Nearest Neighbors Accuracy: 0.4444444444444444\n",
            "Logistic Regression started at: 00:53:21\n",
            "Logistic Regression trained at: 00:53:30\n",
            "Logistic Regression predicted at: 00:53:30\n",
            "Logistic Regression Accuracy: 0.7111111111111111\n",
            "Running band 4\n",
            "SVM started at: 00:53:30\n",
            "SVM trained at: 00:53:35\n",
            "SVM predicted at: 00:53:36\n",
            "SVM Accuracy: 0.6296296296296297\n",
            "K-Nearest Neighbors started at: 00:53:37\n",
            "K-Nearest Neighbors trained at: 00:53:37\n",
            "K-Nearest Neighbors predicted at: 00:53:37\n",
            "K-Nearest Neighbors Accuracy: 0.3851851851851852\n",
            "Logistic Regression started at: 00:53:37\n",
            "Logistic Regression trained at: 00:53:46\n",
            "Logistic Regression predicted at: 00:53:46\n",
            "Logistic Regression Accuracy: 0.7185185185185186\n",
            "\n",
            "\n",
            "Running feature 6:de_LDS\n",
            "Running fold 0\n",
            "Running band 0\n",
            "SVM started at: 00:53:46\n",
            "SVM trained at: 00:53:49\n",
            "SVM predicted at: 00:53:50\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 00:53:50\n",
            "K-Nearest Neighbors trained at: 00:53:50\n",
            "K-Nearest Neighbors predicted at: 00:53:50\n",
            "K-Nearest Neighbors Accuracy: 0.7555555555555555\n",
            "Logistic Regression started at: 00:53:50\n",
            "Logistic Regression trained at: 00:54:00\n",
            "Logistic Regression predicted at: 00:54:00\n",
            "Logistic Regression Accuracy: 0.7703703703703704\n",
            "Running band 1\n",
            "SVM started at: 00:54:00\n",
            "SVM trained at: 00:54:03\n",
            "SVM predicted at: 00:54:04\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 00:54:04\n",
            "K-Nearest Neighbors trained at: 00:54:04\n",
            "K-Nearest Neighbors predicted at: 00:54:04\n",
            "K-Nearest Neighbors Accuracy: 0.7481481481481481\n",
            "Logistic Regression started at: 00:54:04\n",
            "Logistic Regression trained at: 00:54:13\n",
            "Logistic Regression predicted at: 00:54:13\n",
            "Logistic Regression Accuracy: 0.7333333333333333\n",
            "Running band 2\n",
            "SVM started at: 00:54:14\n",
            "SVM trained at: 00:54:17\n",
            "SVM predicted at: 00:54:19\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 00:54:19\n",
            "K-Nearest Neighbors trained at: 00:54:19\n",
            "K-Nearest Neighbors predicted at: 00:54:19\n",
            "K-Nearest Neighbors Accuracy: 0.8148148148148148\n",
            "Logistic Regression started at: 00:54:19\n",
            "Logistic Regression trained at: 00:54:27\n",
            "Logistic Regression predicted at: 00:54:27\n",
            "Logistic Regression Accuracy: 0.7185185185185186\n",
            "Running band 3\n",
            "SVM started at: 00:54:27\n",
            "SVM trained at: 00:54:31\n",
            "SVM predicted at: 00:54:33\n",
            "SVM Accuracy: 0.762962962962963\n",
            "K-Nearest Neighbors started at: 00:54:34\n",
            "K-Nearest Neighbors trained at: 00:54:34\n",
            "K-Nearest Neighbors predicted at: 00:54:34\n",
            "K-Nearest Neighbors Accuracy: 0.8444444444444444\n",
            "Logistic Regression started at: 00:54:34\n",
            "Logistic Regression trained at: 00:54:42\n",
            "Logistic Regression predicted at: 00:54:42\n",
            "Logistic Regression Accuracy: 0.8296296296296296\n",
            "Running band 4\n",
            "SVM started at: 00:54:42\n",
            "SVM trained at: 00:54:45\n",
            "SVM predicted at: 00:54:47\n",
            "SVM Accuracy: 0.7777777777777778\n",
            "K-Nearest Neighbors started at: 00:54:47\n",
            "K-Nearest Neighbors trained at: 00:54:47\n",
            "K-Nearest Neighbors predicted at: 00:54:47\n",
            "K-Nearest Neighbors Accuracy: 0.8074074074074075\n",
            "Logistic Regression started at: 00:54:48\n",
            "Logistic Regression trained at: 00:54:56\n",
            "Logistic Regression predicted at: 00:54:56\n",
            "Logistic Regression Accuracy: 0.8444444444444444\n",
            "Running fold 1\n",
            "Running band 0\n",
            "SVM started at: 00:54:57\n",
            "SVM trained at: 00:54:59\n",
            "SVM predicted at: 00:55:01\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 00:55:01\n",
            "K-Nearest Neighbors trained at: 00:55:01\n",
            "K-Nearest Neighbors predicted at: 00:55:01\n",
            "K-Nearest Neighbors Accuracy: 0.7481481481481481\n",
            "Logistic Regression started at: 00:55:01\n",
            "Logistic Regression trained at: 00:55:11\n",
            "Logistic Regression predicted at: 00:55:11\n",
            "Logistic Regression Accuracy: 0.762962962962963\n",
            "Running band 1\n",
            "SVM started at: 00:55:11\n",
            "SVM trained at: 00:55:13\n",
            "SVM predicted at: 00:55:14\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 00:55:14\n",
            "K-Nearest Neighbors trained at: 00:55:14\n",
            "K-Nearest Neighbors predicted at: 00:55:14\n",
            "K-Nearest Neighbors Accuracy: 0.7333333333333333\n",
            "Logistic Regression started at: 00:55:15\n",
            "Logistic Regression trained at: 00:55:24\n",
            "Logistic Regression predicted at: 00:55:24\n",
            "Logistic Regression Accuracy: 0.8148148148148148\n",
            "Running band 2\n",
            "SVM started at: 00:55:25\n",
            "SVM trained at: 00:55:27\n",
            "SVM predicted at: 00:55:28\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 00:55:28\n",
            "K-Nearest Neighbors trained at: 00:55:28\n",
            "K-Nearest Neighbors predicted at: 00:55:28\n",
            "K-Nearest Neighbors Accuracy: 0.725925925925926\n",
            "Logistic Regression started at: 00:55:29\n",
            "Logistic Regression trained at: 00:55:38\n",
            "Logistic Regression predicted at: 00:55:38\n",
            "Logistic Regression Accuracy: 0.7407407407407407\n",
            "Running band 3\n",
            "SVM started at: 00:55:38\n",
            "SVM trained at: 00:55:41\n",
            "SVM predicted at: 00:55:42\n",
            "SVM Accuracy: 0.8148148148148148\n",
            "K-Nearest Neighbors started at: 00:55:42\n",
            "K-Nearest Neighbors trained at: 00:55:42\n",
            "K-Nearest Neighbors predicted at: 00:55:42\n",
            "K-Nearest Neighbors Accuracy: 0.8518518518518519\n",
            "Logistic Regression started at: 00:55:42\n",
            "Logistic Regression trained at: 00:55:51\n",
            "Logistic Regression predicted at: 00:55:51\n",
            "Logistic Regression Accuracy: 0.8074074074074075\n",
            "Running band 4\n",
            "SVM started at: 00:55:51\n",
            "SVM trained at: 00:55:55\n",
            "SVM predicted at: 00:55:56\n",
            "SVM Accuracy: 0.8592592592592593\n",
            "K-Nearest Neighbors started at: 00:55:56\n",
            "K-Nearest Neighbors trained at: 00:55:56\n",
            "K-Nearest Neighbors predicted at: 00:55:57\n",
            "K-Nearest Neighbors Accuracy: 0.8592592592592593\n",
            "Logistic Regression started at: 00:55:57\n",
            "Logistic Regression trained at: 00:56:05\n",
            "Logistic Regression predicted at: 00:56:05\n",
            "Logistic Regression Accuracy: 0.8074074074074075\n",
            "Running fold 2\n",
            "Running band 0\n",
            "SVM started at: 00:56:05\n",
            "SVM trained at: 00:56:09\n",
            "SVM predicted at: 00:56:11\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 00:56:12\n",
            "K-Nearest Neighbors trained at: 00:56:12\n",
            "K-Nearest Neighbors predicted at: 00:56:12\n",
            "K-Nearest Neighbors Accuracy: 0.725925925925926\n",
            "Logistic Regression started at: 00:56:12\n",
            "Logistic Regression trained at: 00:56:20\n",
            "Logistic Regression predicted at: 00:56:20\n",
            "Logistic Regression Accuracy: 0.8148148148148148\n",
            "Running band 1\n",
            "SVM started at: 00:56:20\n",
            "SVM trained at: 00:56:24\n",
            "SVM predicted at: 00:56:26\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 00:56:26\n",
            "K-Nearest Neighbors trained at: 00:56:26\n",
            "K-Nearest Neighbors predicted at: 00:56:26\n",
            "K-Nearest Neighbors Accuracy: 0.7555555555555555\n",
            "Logistic Regression started at: 00:56:27\n",
            "Logistic Regression trained at: 00:56:34\n",
            "Logistic Regression predicted at: 00:56:34\n",
            "Logistic Regression Accuracy: 0.8592592592592593\n",
            "Running band 2\n",
            "SVM started at: 00:56:35\n",
            "SVM trained at: 00:56:37\n",
            "SVM predicted at: 00:56:39\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 00:56:39\n",
            "K-Nearest Neighbors trained at: 00:56:39\n",
            "K-Nearest Neighbors predicted at: 00:56:39\n",
            "K-Nearest Neighbors Accuracy: 0.7333333333333333\n",
            "Logistic Regression started at: 00:56:40\n",
            "Logistic Regression trained at: 00:56:49\n",
            "Logistic Regression predicted at: 00:56:49\n",
            "Logistic Regression Accuracy: 0.8222222222222222\n",
            "Running band 3\n",
            "SVM started at: 00:56:49\n",
            "SVM trained at: 00:56:51\n",
            "SVM predicted at: 00:56:52\n",
            "SVM Accuracy: 0.7481481481481481\n",
            "K-Nearest Neighbors started at: 00:56:53\n",
            "K-Nearest Neighbors trained at: 00:56:53\n",
            "K-Nearest Neighbors predicted at: 00:56:53\n",
            "K-Nearest Neighbors Accuracy: 0.8740740740740741\n",
            "Logistic Regression started at: 00:56:53\n",
            "Logistic Regression trained at: 00:57:03\n",
            "Logistic Regression predicted at: 00:57:03\n",
            "Logistic Regression Accuracy: 0.837037037037037\n",
            "Running band 4\n",
            "SVM started at: 00:57:03\n",
            "SVM trained at: 00:57:05\n",
            "SVM predicted at: 00:57:06\n",
            "SVM Accuracy: 0.8222222222222222\n",
            "K-Nearest Neighbors started at: 00:57:07\n",
            "K-Nearest Neighbors trained at: 00:57:07\n",
            "K-Nearest Neighbors predicted at: 00:57:07\n",
            "K-Nearest Neighbors Accuracy: 0.8074074074074075\n",
            "Logistic Regression started at: 00:57:07\n",
            "Logistic Regression trained at: 00:57:17\n",
            "Logistic Regression predicted at: 00:57:17\n",
            "Logistic Regression Accuracy: 0.837037037037037\n",
            "Running fold 3\n",
            "Running band 0\n",
            "SVM started at: 00:57:17\n",
            "SVM trained at: 00:57:20\n",
            "SVM predicted at: 00:57:21\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 00:57:21\n",
            "K-Nearest Neighbors trained at: 00:57:21\n",
            "K-Nearest Neighbors predicted at: 00:57:21\n",
            "K-Nearest Neighbors Accuracy: 0.7111111111111111\n",
            "Logistic Regression started at: 00:57:21\n",
            "Logistic Regression trained at: 00:57:31\n",
            "Logistic Regression predicted at: 00:57:31\n",
            "Logistic Regression Accuracy: 0.7481481481481481\n",
            "Running band 1\n",
            "SVM started at: 00:57:31\n",
            "SVM trained at: 00:57:34\n",
            "SVM predicted at: 00:57:35\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 00:57:35\n",
            "K-Nearest Neighbors trained at: 00:57:35\n",
            "K-Nearest Neighbors predicted at: 00:57:35\n",
            "K-Nearest Neighbors Accuracy: 0.8\n",
            "Logistic Regression started at: 00:57:36\n",
            "Logistic Regression trained at: 00:57:44\n",
            "Logistic Regression predicted at: 00:57:44\n",
            "Logistic Regression Accuracy: 0.7777777777777778\n",
            "Running band 2\n",
            "SVM started at: 00:57:44\n",
            "SVM trained at: 00:57:48\n",
            "SVM predicted at: 00:57:50\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 00:57:50\n",
            "K-Nearest Neighbors trained at: 00:57:50\n",
            "K-Nearest Neighbors predicted at: 00:57:50\n",
            "K-Nearest Neighbors Accuracy: 0.6814814814814815\n",
            "Logistic Regression started at: 00:57:50\n",
            "Logistic Regression trained at: 00:57:58\n",
            "Logistic Regression predicted at: 00:57:58\n",
            "Logistic Regression Accuracy: 0.7555555555555555\n",
            "Running band 3\n",
            "SVM started at: 00:57:58\n",
            "SVM trained at: 00:58:02\n",
            "SVM predicted at: 00:58:04\n",
            "SVM Accuracy: 0.7851851851851852\n",
            "K-Nearest Neighbors started at: 00:58:04\n",
            "K-Nearest Neighbors trained at: 00:58:04\n",
            "K-Nearest Neighbors predicted at: 00:58:04\n",
            "K-Nearest Neighbors Accuracy: 0.8222222222222222\n",
            "Logistic Regression started at: 00:58:05\n",
            "Logistic Regression trained at: 00:58:13\n",
            "Logistic Regression predicted at: 00:58:13\n",
            "Logistic Regression Accuracy: 0.8592592592592593\n",
            "Running band 4\n",
            "SVM started at: 00:58:13\n",
            "SVM trained at: 00:58:17\n",
            "SVM predicted at: 00:58:19\n",
            "SVM Accuracy: 0.837037037037037\n",
            "K-Nearest Neighbors started at: 00:58:19\n",
            "K-Nearest Neighbors trained at: 00:58:19\n",
            "K-Nearest Neighbors predicted at: 00:58:19\n",
            "K-Nearest Neighbors Accuracy: 0.8222222222222222\n",
            "Logistic Regression started at: 00:58:20\n",
            "Logistic Regression trained at: 00:58:28\n",
            "Logistic Regression predicted at: 00:58:28\n",
            "Logistic Regression Accuracy: 0.8518518518518519\n",
            "Running fold 4\n",
            "Running band 0\n",
            "SVM started at: 00:58:28\n",
            "SVM trained at: 00:58:30\n",
            "SVM predicted at: 00:58:32\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 00:58:32\n",
            "K-Nearest Neighbors trained at: 00:58:32\n",
            "K-Nearest Neighbors predicted at: 00:58:33\n",
            "K-Nearest Neighbors Accuracy: 0.7777777777777778\n",
            "Logistic Regression started at: 00:58:33\n",
            "Logistic Regression trained at: 00:58:42\n",
            "Logistic Regression predicted at: 00:58:42\n",
            "Logistic Regression Accuracy: 0.8\n",
            "Running band 1\n",
            "SVM started at: 00:58:43\n",
            "SVM trained at: 00:58:45\n",
            "SVM predicted at: 00:58:46\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 00:58:46\n",
            "K-Nearest Neighbors trained at: 00:58:46\n",
            "K-Nearest Neighbors predicted at: 00:58:46\n",
            "K-Nearest Neighbors Accuracy: 0.7481481481481481\n",
            "Logistic Regression started at: 00:58:46\n",
            "Logistic Regression trained at: 00:58:56\n",
            "Logistic Regression predicted at: 00:58:56\n",
            "Logistic Regression Accuracy: 0.7925925925925926\n",
            "Running band 2\n",
            "SVM started at: 00:58:57\n",
            "SVM trained at: 00:58:59\n",
            "SVM predicted at: 00:59:00\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 00:59:00\n",
            "K-Nearest Neighbors trained at: 00:59:00\n",
            "K-Nearest Neighbors predicted at: 00:59:00\n",
            "K-Nearest Neighbors Accuracy: 0.7481481481481481\n",
            "Logistic Regression started at: 00:59:00\n",
            "Logistic Regression trained at: 00:59:11\n",
            "Logistic Regression predicted at: 00:59:11\n",
            "Logistic Regression Accuracy: 0.762962962962963\n",
            "Running band 3\n",
            "SVM started at: 00:59:11\n",
            "SVM trained at: 00:59:14\n",
            "SVM predicted at: 00:59:15\n",
            "SVM Accuracy: 0.8148148148148148\n",
            "K-Nearest Neighbors started at: 00:59:15\n",
            "K-Nearest Neighbors trained at: 00:59:15\n",
            "K-Nearest Neighbors predicted at: 00:59:15\n",
            "K-Nearest Neighbors Accuracy: 0.762962962962963\n",
            "Logistic Regression started at: 00:59:15\n",
            "Logistic Regression trained at: 00:59:24\n",
            "Logistic Regression predicted at: 00:59:24\n",
            "Logistic Regression Accuracy: 0.837037037037037\n",
            "Running band 4\n",
            "SVM started at: 00:59:24\n",
            "SVM trained at: 00:59:27\n",
            "SVM predicted at: 00:59:29\n",
            "SVM Accuracy: 0.8444444444444444\n",
            "K-Nearest Neighbors started at: 00:59:29\n",
            "K-Nearest Neighbors trained at: 00:59:29\n",
            "K-Nearest Neighbors predicted at: 00:59:29\n",
            "K-Nearest Neighbors Accuracy: 0.8444444444444444\n",
            "Logistic Regression started at: 00:59:29\n",
            "Logistic Regression trained at: 00:59:38\n",
            "Logistic Regression predicted at: 00:59:38\n",
            "Logistic Regression Accuracy: 0.8518518518518519\n",
            "\n",
            "\n",
            "Running feature 7:de_movingAve\n",
            "Running fold 0\n",
            "Running band 0\n",
            "SVM started at: 00:59:38\n",
            "SVM trained at: 00:59:43\n",
            "SVM predicted at: 00:59:44\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 00:59:44\n",
            "K-Nearest Neighbors trained at: 00:59:44\n",
            "K-Nearest Neighbors predicted at: 00:59:45\n",
            "K-Nearest Neighbors Accuracy: 0.7777777777777778\n",
            "Logistic Regression started at: 00:59:45\n",
            "Logistic Regression trained at: 00:59:53\n",
            "Logistic Regression predicted at: 00:59:53\n",
            "Logistic Regression Accuracy: 0.8148148148148148\n",
            "Running band 1\n",
            "SVM started at: 00:59:53\n",
            "SVM trained at: 00:59:59\n",
            "SVM predicted at: 01:00:00\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:00:00\n",
            "K-Nearest Neighbors trained at: 01:00:00\n",
            "K-Nearest Neighbors predicted at: 01:00:00\n",
            "K-Nearest Neighbors Accuracy: 0.7777777777777778\n",
            "Logistic Regression started at: 01:00:01\n",
            "Logistic Regression trained at: 01:00:12\n",
            "Logistic Regression predicted at: 01:00:12\n",
            "Logistic Regression Accuracy: 0.8740740740740741\n",
            "Running band 2\n",
            "SVM started at: 01:00:13\n",
            "SVM trained at: 01:00:17\n",
            "SVM predicted at: 01:00:18\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:00:18\n",
            "K-Nearest Neighbors trained at: 01:00:18\n",
            "K-Nearest Neighbors predicted at: 01:00:18\n",
            "K-Nearest Neighbors Accuracy: 0.8296296296296296\n",
            "Logistic Regression started at: 01:00:19\n",
            "Logistic Regression trained at: 01:00:29\n",
            "Logistic Regression predicted at: 01:00:29\n",
            "Logistic Regression Accuracy: 0.8518518518518519\n",
            "Running band 3\n",
            "SVM started at: 01:00:30\n",
            "SVM trained at: 01:00:33\n",
            "SVM predicted at: 01:00:34\n",
            "SVM Accuracy: 0.762962962962963\n",
            "K-Nearest Neighbors started at: 01:00:34\n",
            "K-Nearest Neighbors trained at: 01:00:34\n",
            "K-Nearest Neighbors predicted at: 01:00:35\n",
            "K-Nearest Neighbors Accuracy: 0.8518518518518519\n",
            "Logistic Regression started at: 01:00:35\n",
            "Logistic Regression trained at: 01:00:44\n",
            "Logistic Regression predicted at: 01:00:44\n",
            "Logistic Regression Accuracy: 0.837037037037037\n",
            "Running band 4\n",
            "SVM started at: 01:00:44\n",
            "SVM trained at: 01:00:48\n",
            "SVM predicted at: 01:00:50\n",
            "SVM Accuracy: 0.7851851851851852\n",
            "K-Nearest Neighbors started at: 01:00:50\n",
            "K-Nearest Neighbors trained at: 01:00:50\n",
            "K-Nearest Neighbors predicted at: 01:00:50\n",
            "K-Nearest Neighbors Accuracy: 0.8074074074074075\n",
            "Logistic Regression started at: 01:00:50\n",
            "Logistic Regression trained at: 01:01:00\n",
            "Logistic Regression predicted at: 01:01:00\n",
            "Logistic Regression Accuracy: 0.8592592592592593\n",
            "Running fold 1\n",
            "Running band 0\n",
            "SVM started at: 01:01:01\n",
            "SVM trained at: 01:01:05\n",
            "SVM predicted at: 01:01:07\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:01:07\n",
            "K-Nearest Neighbors trained at: 01:01:07\n",
            "K-Nearest Neighbors predicted at: 01:01:07\n",
            "K-Nearest Neighbors Accuracy: 0.7555555555555555\n",
            "Logistic Regression started at: 01:01:07\n",
            "Logistic Regression trained at: 01:01:17\n",
            "Logistic Regression predicted at: 01:01:17\n",
            "Logistic Regression Accuracy: 0.7703703703703704\n",
            "Running band 1\n",
            "SVM started at: 01:01:18\n",
            "SVM trained at: 01:01:21\n",
            "SVM predicted at: 01:01:23\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:01:23\n",
            "K-Nearest Neighbors trained at: 01:01:23\n",
            "K-Nearest Neighbors predicted at: 01:01:23\n",
            "K-Nearest Neighbors Accuracy: 0.8148148148148148\n",
            "Logistic Regression started at: 01:01:23\n",
            "Logistic Regression trained at: 01:01:33\n",
            "Logistic Regression predicted at: 01:01:33\n",
            "Logistic Regression Accuracy: 0.8740740740740741\n",
            "Running band 2\n",
            "SVM started at: 01:01:33\n",
            "SVM trained at: 01:01:37\n",
            "SVM predicted at: 01:01:39\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:01:39\n",
            "K-Nearest Neighbors trained at: 01:01:39\n",
            "K-Nearest Neighbors predicted at: 01:01:39\n",
            "K-Nearest Neighbors Accuracy: 0.7555555555555555\n",
            "Logistic Regression started at: 01:01:39\n",
            "Logistic Regression trained at: 01:01:50\n",
            "Logistic Regression predicted at: 01:01:50\n",
            "Logistic Regression Accuracy: 0.8592592592592593\n",
            "Running band 3\n",
            "SVM started at: 01:01:51\n",
            "SVM trained at: 01:01:54\n",
            "SVM predicted at: 01:01:56\n",
            "SVM Accuracy: 0.8148148148148148\n",
            "K-Nearest Neighbors started at: 01:01:56\n",
            "K-Nearest Neighbors trained at: 01:01:56\n",
            "K-Nearest Neighbors predicted at: 01:01:56\n",
            "K-Nearest Neighbors Accuracy: 0.8592592592592593\n",
            "Logistic Regression started at: 01:01:56\n",
            "Logistic Regression trained at: 01:02:07\n",
            "Logistic Regression predicted at: 01:02:07\n",
            "Logistic Regression Accuracy: 0.8444444444444444\n",
            "Running band 4\n",
            "SVM started at: 01:02:07\n",
            "SVM trained at: 01:02:10\n",
            "SVM predicted at: 01:02:12\n",
            "SVM Accuracy: 0.8666666666666667\n",
            "K-Nearest Neighbors started at: 01:02:12\n",
            "K-Nearest Neighbors trained at: 01:02:12\n",
            "K-Nearest Neighbors predicted at: 01:02:12\n",
            "K-Nearest Neighbors Accuracy: 0.8222222222222222\n",
            "Logistic Regression started at: 01:02:12\n",
            "Logistic Regression trained at: 01:02:22\n",
            "Logistic Regression predicted at: 01:02:22\n",
            "Logistic Regression Accuracy: 0.8444444444444444\n",
            "Running fold 2\n",
            "Running band 0\n",
            "SVM started at: 01:02:23\n",
            "SVM trained at: 01:02:27\n",
            "SVM predicted at: 01:02:29\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:02:29\n",
            "K-Nearest Neighbors trained at: 01:02:29\n",
            "K-Nearest Neighbors predicted at: 01:02:29\n",
            "K-Nearest Neighbors Accuracy: 0.7481481481481481\n",
            "Logistic Regression started at: 01:02:29\n",
            "Logistic Regression trained at: 01:02:39\n",
            "Logistic Regression predicted at: 01:02:39\n",
            "Logistic Regression Accuracy: 0.8592592592592593\n",
            "Running band 1\n",
            "SVM started at: 01:02:39\n",
            "SVM trained at: 01:02:43\n",
            "SVM predicted at: 01:02:44\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:02:45\n",
            "K-Nearest Neighbors trained at: 01:02:45\n",
            "K-Nearest Neighbors predicted at: 01:02:45\n",
            "K-Nearest Neighbors Accuracy: 0.7777777777777778\n",
            "Logistic Regression started at: 01:02:45\n",
            "Logistic Regression trained at: 01:02:58\n",
            "Logistic Regression predicted at: 01:02:58\n",
            "Logistic Regression Accuracy: 0.9407407407407408\n",
            "Running band 2\n",
            "SVM started at: 01:02:58\n",
            "SVM trained at: 01:03:01\n",
            "SVM predicted at: 01:03:03\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:03:03\n",
            "K-Nearest Neighbors trained at: 01:03:03\n",
            "K-Nearest Neighbors predicted at: 01:03:03\n",
            "K-Nearest Neighbors Accuracy: 0.7777777777777778\n",
            "Logistic Regression started at: 01:03:03\n",
            "Logistic Regression trained at: 01:03:13\n",
            "Logistic Regression predicted at: 01:03:13\n",
            "Logistic Regression Accuracy: 0.837037037037037\n",
            "Running band 3\n",
            "SVM started at: 01:03:14\n",
            "SVM trained at: 01:03:17\n",
            "SVM predicted at: 01:03:18\n",
            "SVM Accuracy: 0.7555555555555555\n",
            "K-Nearest Neighbors started at: 01:03:18\n",
            "K-Nearest Neighbors trained at: 01:03:18\n",
            "K-Nearest Neighbors predicted at: 01:03:19\n",
            "K-Nearest Neighbors Accuracy: 0.9037037037037037\n",
            "Logistic Regression started at: 01:03:19\n",
            "Logistic Regression trained at: 01:03:29\n",
            "Logistic Regression predicted at: 01:03:29\n",
            "Logistic Regression Accuracy: 0.8148148148148148\n",
            "Running band 4\n",
            "SVM started at: 01:03:29\n",
            "SVM trained at: 01:03:32\n",
            "SVM predicted at: 01:03:33\n",
            "SVM Accuracy: 0.8222222222222222\n",
            "K-Nearest Neighbors started at: 01:03:33\n",
            "K-Nearest Neighbors trained at: 01:03:33\n",
            "K-Nearest Neighbors predicted at: 01:03:34\n",
            "K-Nearest Neighbors Accuracy: 0.8\n",
            "Logistic Regression started at: 01:03:34\n",
            "Logistic Regression trained at: 01:03:45\n",
            "Logistic Regression predicted at: 01:03:45\n",
            "Logistic Regression Accuracy: 0.8444444444444444\n",
            "Running fold 3\n",
            "Running band 0\n",
            "SVM started at: 01:03:45\n",
            "SVM trained at: 01:03:49\n",
            "SVM predicted at: 01:03:51\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:03:51\n",
            "K-Nearest Neighbors trained at: 01:03:51\n",
            "K-Nearest Neighbors predicted at: 01:03:51\n",
            "K-Nearest Neighbors Accuracy: 0.7925925925925926\n",
            "Logistic Regression started at: 01:03:51\n",
            "Logistic Regression trained at: 01:04:02\n",
            "Logistic Regression predicted at: 01:04:02\n",
            "Logistic Regression Accuracy: 0.7851851851851852\n",
            "Running band 1\n",
            "SVM started at: 01:04:02\n",
            "SVM trained at: 01:04:05\n",
            "SVM predicted at: 01:04:06\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:04:07\n",
            "K-Nearest Neighbors trained at: 01:04:07\n",
            "K-Nearest Neighbors predicted at: 01:04:07\n",
            "K-Nearest Neighbors Accuracy: 0.8222222222222222\n",
            "Logistic Regression started at: 01:04:07\n",
            "Logistic Regression trained at: 01:04:18\n",
            "Logistic Regression predicted at: 01:04:18\n",
            "Logistic Regression Accuracy: 0.8814814814814815\n",
            "Running band 2\n",
            "SVM started at: 01:04:19\n",
            "SVM trained at: 01:04:22\n",
            "SVM predicted at: 01:04:23\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:04:23\n",
            "K-Nearest Neighbors trained at: 01:04:23\n",
            "K-Nearest Neighbors predicted at: 01:04:24\n",
            "K-Nearest Neighbors Accuracy: 0.6888888888888889\n",
            "Logistic Regression started at: 01:04:24\n",
            "Logistic Regression trained at: 01:04:34\n",
            "Logistic Regression predicted at: 01:04:34\n",
            "Logistic Regression Accuracy: 0.8518518518518519\n",
            "Running band 3\n",
            "SVM started at: 01:04:34\n",
            "SVM trained at: 01:04:38\n",
            "SVM predicted at: 01:04:39\n",
            "SVM Accuracy: 0.7777777777777778\n",
            "K-Nearest Neighbors started at: 01:04:40\n",
            "K-Nearest Neighbors trained at: 01:04:40\n",
            "K-Nearest Neighbors predicted at: 01:04:40\n",
            "K-Nearest Neighbors Accuracy: 0.8296296296296296\n",
            "Logistic Regression started at: 01:04:40\n",
            "Logistic Regression trained at: 01:04:50\n",
            "Logistic Regression predicted at: 01:04:50\n",
            "Logistic Regression Accuracy: 0.8888888888888888\n",
            "Running band 4\n",
            "SVM started at: 01:04:50\n",
            "SVM trained at: 01:04:54\n",
            "SVM predicted at: 01:04:55\n",
            "SVM Accuracy: 0.8296296296296296\n",
            "K-Nearest Neighbors started at: 01:04:56\n",
            "K-Nearest Neighbors trained at: 01:04:56\n",
            "K-Nearest Neighbors predicted at: 01:04:56\n",
            "K-Nearest Neighbors Accuracy: 0.8296296296296296\n",
            "Logistic Regression started at: 01:04:56\n",
            "Logistic Regression trained at: 01:05:07\n",
            "Logistic Regression predicted at: 01:05:07\n",
            "Logistic Regression Accuracy: 0.8814814814814815\n",
            "Running fold 4\n",
            "Running band 0\n",
            "SVM started at: 01:05:07\n",
            "SVM trained at: 01:05:12\n",
            "SVM predicted at: 01:05:13\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:05:13\n",
            "K-Nearest Neighbors trained at: 01:05:13\n",
            "K-Nearest Neighbors predicted at: 01:05:14\n",
            "K-Nearest Neighbors Accuracy: 0.7777777777777778\n",
            "Logistic Regression started at: 01:05:14\n",
            "Logistic Regression trained at: 01:05:24\n",
            "Logistic Regression predicted at: 01:05:24\n",
            "Logistic Regression Accuracy: 0.8296296296296296\n",
            "Running band 1\n",
            "SVM started at: 01:05:24\n",
            "SVM trained at: 01:05:28\n",
            "SVM predicted at: 01:05:29\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:05:29\n",
            "K-Nearest Neighbors trained at: 01:05:29\n",
            "K-Nearest Neighbors predicted at: 01:05:29\n",
            "K-Nearest Neighbors Accuracy: 0.762962962962963\n",
            "Logistic Regression started at: 01:05:29\n",
            "Logistic Regression trained at: 01:05:40\n",
            "Logistic Regression predicted at: 01:05:40\n",
            "Logistic Regression Accuracy: 0.8666666666666667\n",
            "Running band 2\n",
            "SVM started at: 01:05:40\n",
            "SVM trained at: 01:05:43\n",
            "SVM predicted at: 01:05:44\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:05:45\n",
            "K-Nearest Neighbors trained at: 01:05:45\n",
            "K-Nearest Neighbors predicted at: 01:05:45\n",
            "K-Nearest Neighbors Accuracy: 0.7407407407407407\n",
            "Logistic Regression started at: 01:05:45\n",
            "Logistic Regression trained at: 01:05:55\n",
            "Logistic Regression predicted at: 01:05:55\n",
            "Logistic Regression Accuracy: 0.7851851851851852\n",
            "Running band 3\n",
            "SVM started at: 01:05:56\n",
            "SVM trained at: 01:06:00\n",
            "SVM predicted at: 01:06:01\n",
            "SVM Accuracy: 0.8148148148148148\n",
            "K-Nearest Neighbors started at: 01:06:01\n",
            "K-Nearest Neighbors trained at: 01:06:01\n",
            "K-Nearest Neighbors predicted at: 01:06:01\n",
            "K-Nearest Neighbors Accuracy: 0.762962962962963\n",
            "Logistic Regression started at: 01:06:01\n",
            "Logistic Regression trained at: 01:06:12\n",
            "Logistic Regression predicted at: 01:06:12\n",
            "Logistic Regression Accuracy: 0.837037037037037\n",
            "Running band 4\n",
            "SVM started at: 01:06:12\n",
            "SVM trained at: 01:06:16\n",
            "SVM predicted at: 01:06:18\n",
            "SVM Accuracy: 0.8444444444444444\n",
            "K-Nearest Neighbors started at: 01:06:18\n",
            "K-Nearest Neighbors trained at: 01:06:18\n",
            "K-Nearest Neighbors predicted at: 01:06:18\n",
            "K-Nearest Neighbors Accuracy: 0.8814814814814815\n",
            "Logistic Regression started at: 01:06:18\n",
            "Logistic Regression trained at: 01:06:28\n",
            "Logistic Regression predicted at: 01:06:28\n",
            "Logistic Regression Accuracy: 0.8444444444444444\n",
            "\n",
            "\n",
            "Running feature 8:psd_LDS\n",
            "Running fold 0\n",
            "Running band 0\n",
            "SVM started at: 01:06:28\n",
            "SVM trained at: 01:06:36\n",
            "SVM predicted at: 01:06:38\n",
            "SVM Accuracy: 0.34074074074074073\n",
            "K-Nearest Neighbors started at: 01:06:38\n",
            "K-Nearest Neighbors trained at: 01:06:38\n",
            "K-Nearest Neighbors predicted at: 01:06:38\n",
            "K-Nearest Neighbors Accuracy: 0.48148148148148145\n",
            "Logistic Regression started at: 01:06:38\n",
            "Logistic Regression trained at: 01:06:40\n",
            "Logistic Regression predicted at: 01:06:40\n",
            "Logistic Regression Accuracy: 0.3333333333333333\n",
            "Running band 1\n",
            "SVM started at: 01:06:40\n",
            "SVM trained at: 01:06:49\n",
            "SVM predicted at: 01:06:51\n",
            "SVM Accuracy: 0.34074074074074073\n",
            "K-Nearest Neighbors started at: 01:06:51\n",
            "K-Nearest Neighbors trained at: 01:06:51\n",
            "K-Nearest Neighbors predicted at: 01:06:51\n",
            "K-Nearest Neighbors Accuracy: 0.4740740740740741\n",
            "Logistic Regression started at: 01:06:51\n",
            "Logistic Regression trained at: 01:07:11\n",
            "Logistic Regression predicted at: 01:07:11\n",
            "Logistic Regression Accuracy: 0.6888888888888889\n",
            "Running band 2\n",
            "SVM started at: 01:07:11\n",
            "SVM trained at: 01:07:19\n",
            "SVM predicted at: 01:07:21\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:07:22\n",
            "K-Nearest Neighbors trained at: 01:07:22\n",
            "K-Nearest Neighbors predicted at: 01:07:22\n",
            "K-Nearest Neighbors Accuracy: 0.5111111111111111\n",
            "Logistic Regression started at: 01:07:22\n",
            "Logistic Regression trained at: 01:07:39\n",
            "Logistic Regression predicted at: 01:07:39\n",
            "Logistic Regression Accuracy: 0.6814814814814815\n",
            "Running band 3\n",
            "SVM started at: 01:07:39\n",
            "SVM trained at: 01:07:45\n",
            "SVM predicted at: 01:07:49\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:07:49\n",
            "K-Nearest Neighbors trained at: 01:07:49\n",
            "K-Nearest Neighbors predicted at: 01:07:49\n",
            "K-Nearest Neighbors Accuracy: 0.4444444444444444\n",
            "Logistic Regression started at: 01:07:49\n",
            "Logistic Regression trained at: 01:08:16\n",
            "Logistic Regression predicted at: 01:08:16\n",
            "Logistic Regression Accuracy: 0.3925925925925926\n",
            "Running band 4\n",
            "SVM started at: 01:08:16\n",
            "SVM trained at: 01:08:23\n",
            "SVM predicted at: 01:08:26\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:08:26\n",
            "K-Nearest Neighbors trained at: 01:08:26\n",
            "K-Nearest Neighbors predicted at: 01:08:26\n",
            "K-Nearest Neighbors Accuracy: 0.34814814814814815\n",
            "Logistic Regression started at: 01:08:26\n",
            "Logistic Regression trained at: 01:08:53\n",
            "Logistic Regression predicted at: 01:08:53\n",
            "Logistic Regression Accuracy: 0.6222222222222222\n",
            "Running fold 1\n",
            "Running band 0\n",
            "SVM started at: 01:08:53\n",
            "SVM trained at: 01:09:01\n",
            "SVM predicted at: 01:09:02\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:09:02\n",
            "K-Nearest Neighbors trained at: 01:09:02\n",
            "K-Nearest Neighbors predicted at: 01:09:03\n",
            "K-Nearest Neighbors Accuracy: 0.4888888888888889\n",
            "Logistic Regression started at: 01:09:03\n",
            "Logistic Regression trained at: 01:09:04\n",
            "Logistic Regression predicted at: 01:09:04\n",
            "Logistic Regression Accuracy: 0.3333333333333333\n",
            "Running band 1\n",
            "SVM started at: 01:09:04\n",
            "SVM trained at: 01:09:13\n",
            "SVM predicted at: 01:09:15\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:09:15\n",
            "K-Nearest Neighbors trained at: 01:09:15\n",
            "K-Nearest Neighbors predicted at: 01:09:16\n",
            "K-Nearest Neighbors Accuracy: 0.5481481481481482\n",
            "Logistic Regression started at: 01:09:16\n",
            "Logistic Regression trained at: 01:09:33\n",
            "Logistic Regression predicted at: 01:09:33\n",
            "Logistic Regression Accuracy: 0.34814814814814815\n",
            "Running band 2\n",
            "SVM started at: 01:09:33\n",
            "SVM trained at: 01:09:38\n",
            "SVM predicted at: 01:09:41\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:09:42\n",
            "K-Nearest Neighbors trained at: 01:09:42\n",
            "K-Nearest Neighbors predicted at: 01:09:42\n",
            "K-Nearest Neighbors Accuracy: 0.5111111111111111\n",
            "Logistic Regression started at: 01:09:42\n",
            "Logistic Regression trained at: 01:10:10\n",
            "Logistic Regression predicted at: 01:10:11\n",
            "Logistic Regression Accuracy: 0.48148148148148145\n",
            "Running band 3\n",
            "SVM started at: 01:10:11\n",
            "SVM trained at: 01:10:19\n",
            "SVM predicted at: 01:10:21\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:10:21\n",
            "K-Nearest Neighbors trained at: 01:10:21\n",
            "K-Nearest Neighbors predicted at: 01:10:21\n",
            "K-Nearest Neighbors Accuracy: 0.6\n",
            "Logistic Regression started at: 01:10:21\n",
            "Logistic Regression trained at: 01:10:46\n",
            "Logistic Regression predicted at: 01:10:46\n",
            "Logistic Regression Accuracy: 0.5481481481481482\n",
            "Running band 4\n",
            "SVM started at: 01:10:47\n",
            "SVM trained at: 01:10:55\n",
            "SVM predicted at: 01:10:56\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:10:56\n",
            "K-Nearest Neighbors trained at: 01:10:56\n",
            "K-Nearest Neighbors predicted at: 01:10:57\n",
            "K-Nearest Neighbors Accuracy: 0.5555555555555556\n",
            "Logistic Regression started at: 01:10:57\n",
            "Logistic Regression trained at: 01:11:13\n",
            "Logistic Regression predicted at: 01:11:13\n",
            "Logistic Regression Accuracy: 0.5481481481481482\n",
            "Running fold 2\n",
            "Running band 0\n",
            "SVM started at: 01:11:13\n",
            "SVM trained at: 01:11:18\n",
            "SVM predicted at: 01:11:23\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:11:23\n",
            "K-Nearest Neighbors trained at: 01:11:23\n",
            "K-Nearest Neighbors predicted at: 01:11:23\n",
            "K-Nearest Neighbors Accuracy: 0.4962962962962963\n",
            "Logistic Regression started at: 01:11:23\n",
            "Logistic Regression trained at: 01:11:25\n",
            "Logistic Regression predicted at: 01:11:25\n",
            "Logistic Regression Accuracy: 0.3333333333333333\n",
            "Running band 1\n",
            "SVM started at: 01:11:25\n",
            "SVM trained at: 01:11:31\n",
            "SVM predicted at: 01:11:33\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:11:33\n",
            "K-Nearest Neighbors trained at: 01:11:33\n",
            "K-Nearest Neighbors predicted at: 01:11:34\n",
            "K-Nearest Neighbors Accuracy: 0.48148148148148145\n",
            "Logistic Regression started at: 01:11:34\n",
            "Logistic Regression trained at: 01:11:49\n",
            "Logistic Regression predicted at: 01:11:49\n",
            "Logistic Regression Accuracy: 0.362962962962963\n",
            "Running band 2\n",
            "SVM started at: 01:11:49\n",
            "SVM trained at: 01:11:57\n",
            "SVM predicted at: 01:12:00\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:12:00\n",
            "K-Nearest Neighbors trained at: 01:12:00\n",
            "K-Nearest Neighbors predicted at: 01:12:00\n",
            "K-Nearest Neighbors Accuracy: 0.4888888888888889\n",
            "Logistic Regression started at: 01:12:00\n",
            "Logistic Regression trained at: 01:12:25\n",
            "Logistic Regression predicted at: 01:12:25\n",
            "Logistic Regression Accuracy: 0.5703703703703704\n",
            "Running band 3\n",
            "SVM started at: 01:12:26\n",
            "SVM trained at: 01:12:33\n",
            "SVM predicted at: 01:12:35\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:12:35\n",
            "K-Nearest Neighbors trained at: 01:12:35\n",
            "K-Nearest Neighbors predicted at: 01:12:35\n",
            "K-Nearest Neighbors Accuracy: 0.6222222222222222\n",
            "Logistic Regression started at: 01:12:35\n",
            "Logistic Regression trained at: 01:12:50\n",
            "Logistic Regression predicted at: 01:12:50\n",
            "Logistic Regression Accuracy: 0.43703703703703706\n",
            "Running band 4\n",
            "SVM started at: 01:12:51\n",
            "SVM trained at: 01:12:57\n",
            "SVM predicted at: 01:13:02\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:13:02\n",
            "K-Nearest Neighbors trained at: 01:13:02\n",
            "K-Nearest Neighbors predicted at: 01:13:02\n",
            "K-Nearest Neighbors Accuracy: 0.5111111111111111\n",
            "Logistic Regression started at: 01:13:02\n",
            "Logistic Regression trained at: 01:13:19\n",
            "Logistic Regression predicted at: 01:13:19\n",
            "Logistic Regression Accuracy: 0.4962962962962963\n",
            "Running fold 3\n",
            "Running band 0\n",
            "SVM started at: 01:13:19\n",
            "SVM trained at: 01:13:25\n",
            "SVM predicted at: 01:13:26\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:13:27\n",
            "K-Nearest Neighbors trained at: 01:13:27\n",
            "K-Nearest Neighbors predicted at: 01:13:27\n",
            "K-Nearest Neighbors Accuracy: 0.48148148148148145\n",
            "Logistic Regression started at: 01:13:27\n",
            "Logistic Regression trained at: 01:13:28\n",
            "Logistic Regression predicted at: 01:13:28\n",
            "Logistic Regression Accuracy: 0.3333333333333333\n",
            "Running band 1\n",
            "SVM started at: 01:13:29\n",
            "SVM trained at: 01:13:38\n",
            "SVM predicted at: 01:13:40\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:13:40\n",
            "K-Nearest Neighbors trained at: 01:13:40\n",
            "K-Nearest Neighbors predicted at: 01:13:40\n",
            "K-Nearest Neighbors Accuracy: 0.5037037037037037\n",
            "Logistic Regression started at: 01:13:40\n",
            "Logistic Regression trained at: 01:13:55\n",
            "Logistic Regression predicted at: 01:13:55\n",
            "Logistic Regression Accuracy: 0.34074074074074073\n",
            "Running band 2\n",
            "SVM started at: 01:13:56\n",
            "SVM trained at: 01:14:02\n",
            "SVM predicted at: 01:14:06\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:14:06\n",
            "K-Nearest Neighbors trained at: 01:14:06\n",
            "K-Nearest Neighbors predicted at: 01:14:06\n",
            "K-Nearest Neighbors Accuracy: 0.4666666666666667\n",
            "Logistic Regression started at: 01:14:06\n",
            "Logistic Regression trained at: 01:14:26\n",
            "Logistic Regression predicted at: 01:14:26\n",
            "Logistic Regression Accuracy: 0.42962962962962964\n",
            "Running band 3\n",
            "SVM started at: 01:14:26\n",
            "SVM trained at: 01:14:32\n",
            "SVM predicted at: 01:14:33\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:14:33\n",
            "K-Nearest Neighbors trained at: 01:14:33\n",
            "K-Nearest Neighbors predicted at: 01:14:34\n",
            "K-Nearest Neighbors Accuracy: 0.5333333333333333\n",
            "Logistic Regression started at: 01:14:34\n",
            "Logistic Regression trained at: 01:14:48\n",
            "Logistic Regression predicted at: 01:14:48\n",
            "Logistic Regression Accuracy: 0.4\n",
            "Running band 4\n",
            "SVM started at: 01:14:49\n",
            "SVM trained at: 01:14:57\n",
            "SVM predicted at: 01:14:59\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:14:59\n",
            "K-Nearest Neighbors trained at: 01:14:59\n",
            "K-Nearest Neighbors predicted at: 01:14:59\n",
            "K-Nearest Neighbors Accuracy: 0.45185185185185184\n",
            "Logistic Regression started at: 01:14:59\n",
            "Logistic Regression trained at: 01:15:17\n",
            "Logistic Regression predicted at: 01:15:17\n",
            "Logistic Regression Accuracy: 0.37037037037037035\n",
            "Running fold 4\n",
            "Running band 0\n",
            "SVM started at: 01:15:17\n",
            "SVM trained at: 01:15:25\n",
            "SVM predicted at: 01:15:30\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:15:30\n",
            "K-Nearest Neighbors trained at: 01:15:30\n",
            "K-Nearest Neighbors predicted at: 01:15:30\n",
            "K-Nearest Neighbors Accuracy: 0.45185185185185184\n",
            "Logistic Regression started at: 01:15:30\n",
            "Logistic Regression trained at: 01:15:32\n",
            "Logistic Regression predicted at: 01:15:32\n",
            "Logistic Regression Accuracy: 0.3333333333333333\n",
            "Running band 1\n",
            "SVM started at: 01:15:32\n",
            "SVM trained at: 01:15:38\n",
            "SVM predicted at: 01:15:42\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:15:42\n",
            "K-Nearest Neighbors trained at: 01:15:42\n",
            "K-Nearest Neighbors predicted at: 01:15:43\n",
            "K-Nearest Neighbors Accuracy: 0.4962962962962963\n",
            "Logistic Regression started at: 01:15:43\n",
            "Logistic Regression trained at: 01:16:03\n",
            "Logistic Regression predicted at: 01:16:03\n",
            "Logistic Regression Accuracy: 0.362962962962963\n",
            "Running band 2\n",
            "SVM started at: 01:16:03\n",
            "SVM trained at: 01:16:10\n",
            "SVM predicted at: 01:16:12\n",
            "SVM Accuracy: 0.34074074074074073\n",
            "K-Nearest Neighbors started at: 01:16:13\n",
            "K-Nearest Neighbors trained at: 01:16:13\n",
            "K-Nearest Neighbors predicted at: 01:16:13\n",
            "K-Nearest Neighbors Accuracy: 0.4444444444444444\n",
            "Logistic Regression started at: 01:16:13\n",
            "Logistic Regression trained at: 01:16:35\n",
            "Logistic Regression predicted at: 01:16:35\n",
            "Logistic Regression Accuracy: 0.5481481481481482\n",
            "Running band 3\n",
            "SVM started at: 01:16:36\n",
            "SVM trained at: 01:16:43\n",
            "SVM predicted at: 01:16:45\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:16:45\n",
            "K-Nearest Neighbors trained at: 01:16:45\n",
            "K-Nearest Neighbors predicted at: 01:16:45\n",
            "K-Nearest Neighbors Accuracy: 0.5037037037037037\n",
            "Logistic Regression started at: 01:16:45\n",
            "Logistic Regression trained at: 01:17:19\n",
            "Logistic Regression predicted at: 01:17:20\n",
            "Logistic Regression Accuracy: 0.4888888888888889\n",
            "Running band 4\n",
            "SVM started at: 01:17:20\n",
            "SVM trained at: 01:17:29\n",
            "SVM predicted at: 01:17:31\n",
            "SVM Accuracy: 0.32592592592592595\n",
            "K-Nearest Neighbors started at: 01:17:31\n",
            "K-Nearest Neighbors trained at: 01:17:31\n",
            "K-Nearest Neighbors predicted at: 01:17:31\n",
            "K-Nearest Neighbors Accuracy: 0.45925925925925926\n",
            "Logistic Regression started at: 01:17:32\n",
            "Logistic Regression trained at: 01:17:47\n",
            "Logistic Regression predicted at: 01:17:47\n",
            "Logistic Regression Accuracy: 0.5111111111111111\n",
            "\n",
            "\n",
            "Running feature 9:psd_movingAve\n",
            "Running fold 0\n",
            "Running band 0\n",
            "SVM started at: 01:17:48\n",
            "SVM trained at: 01:17:57\n",
            "SVM predicted at: 01:18:00\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:18:00\n",
            "K-Nearest Neighbors trained at: 01:18:00\n",
            "K-Nearest Neighbors predicted at: 01:18:00\n",
            "K-Nearest Neighbors Accuracy: 0.48148148148148145\n",
            "Logistic Regression started at: 01:18:00\n",
            "Logistic Regression trained at: 01:18:32\n",
            "Logistic Regression predicted at: 01:18:32\n",
            "Logistic Regression Accuracy: 0.5407407407407407\n",
            "Running band 1\n",
            "SVM started at: 01:18:32\n",
            "SVM trained at: 01:18:39\n",
            "SVM predicted at: 01:18:42\n",
            "SVM Accuracy: 0.34074074074074073\n",
            "K-Nearest Neighbors started at: 01:18:43\n",
            "K-Nearest Neighbors trained at: 01:18:43\n",
            "K-Nearest Neighbors predicted at: 01:18:43\n",
            "K-Nearest Neighbors Accuracy: 0.4222222222222222\n",
            "Logistic Regression started at: 01:18:43\n",
            "Logistic Regression trained at: 01:19:07\n",
            "Logistic Regression predicted at: 01:19:07\n",
            "Logistic Regression Accuracy: 0.5777777777777777\n",
            "Running band 2\n",
            "SVM started at: 01:19:07\n",
            "SVM trained at: 01:19:14\n",
            "SVM predicted at: 01:19:19\n",
            "SVM Accuracy: 0.34074074074074073\n",
            "K-Nearest Neighbors started at: 01:19:19\n",
            "K-Nearest Neighbors trained at: 01:19:19\n",
            "K-Nearest Neighbors predicted at: 01:19:20\n",
            "K-Nearest Neighbors Accuracy: 0.4074074074074074\n",
            "Logistic Regression started at: 01:19:20\n",
            "Logistic Regression trained at: 01:19:55\n",
            "Logistic Regression predicted at: 01:19:55\n",
            "Logistic Regression Accuracy: 0.5703703703703704\n",
            "Running band 3\n",
            "SVM started at: 01:19:55\n",
            "SVM trained at: 01:20:02\n",
            "SVM predicted at: 01:20:05\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:20:05\n",
            "K-Nearest Neighbors trained at: 01:20:05\n",
            "K-Nearest Neighbors predicted at: 01:20:06\n",
            "K-Nearest Neighbors Accuracy: 0.4444444444444444\n",
            "Logistic Regression started at: 01:20:06\n",
            "Logistic Regression trained at: 01:20:42\n",
            "Logistic Regression predicted at: 01:20:42\n",
            "Logistic Regression Accuracy: 0.6148148148148148\n",
            "Running band 4\n",
            "SVM started at: 01:20:42\n",
            "SVM trained at: 01:20:48\n",
            "SVM predicted at: 01:20:50\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:20:50\n",
            "K-Nearest Neighbors trained at: 01:20:50\n",
            "K-Nearest Neighbors predicted at: 01:20:50\n",
            "K-Nearest Neighbors Accuracy: 0.34814814814814815\n",
            "Logistic Regression started at: 01:20:50\n",
            "Logistic Regression trained at: 01:21:24\n",
            "Logistic Regression predicted at: 01:21:24\n",
            "Logistic Regression Accuracy: 0.6\n",
            "Running fold 1\n",
            "Running band 0\n",
            "SVM started at: 01:21:24\n",
            "SVM trained at: 01:21:33\n",
            "SVM predicted at: 01:21:36\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:21:36\n",
            "K-Nearest Neighbors trained at: 01:21:36\n",
            "K-Nearest Neighbors predicted at: 01:21:36\n",
            "K-Nearest Neighbors Accuracy: 0.3925925925925926\n",
            "Logistic Regression started at: 01:21:36\n",
            "Logistic Regression trained at: 01:22:03\n",
            "Logistic Regression predicted at: 01:22:03\n",
            "Logistic Regression Accuracy: 0.5037037037037037\n",
            "Running band 1\n",
            "SVM started at: 01:22:03\n",
            "SVM trained at: 01:22:10\n",
            "SVM predicted at: 01:22:12\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:22:12\n",
            "K-Nearest Neighbors trained at: 01:22:12\n",
            "K-Nearest Neighbors predicted at: 01:22:12\n",
            "K-Nearest Neighbors Accuracy: 0.4740740740740741\n",
            "Logistic Regression started at: 01:22:12\n",
            "Logistic Regression trained at: 01:22:42\n",
            "Logistic Regression predicted at: 01:22:42\n",
            "Logistic Regression Accuracy: 0.5925925925925926\n",
            "Running band 2\n",
            "SVM started at: 01:22:43\n",
            "SVM trained at: 01:22:49\n",
            "SVM predicted at: 01:22:54\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:22:54\n",
            "K-Nearest Neighbors trained at: 01:22:54\n",
            "K-Nearest Neighbors predicted at: 01:22:54\n",
            "K-Nearest Neighbors Accuracy: 0.45185185185185184\n",
            "Logistic Regression started at: 01:22:54\n",
            "Logistic Regression trained at: 01:23:12\n",
            "Logistic Regression predicted at: 01:23:12\n",
            "Logistic Regression Accuracy: 0.6296296296296297\n",
            "Running band 3\n",
            "SVM started at: 01:23:12\n",
            "SVM trained at: 01:23:18\n",
            "SVM predicted at: 01:23:22\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:23:22\n",
            "K-Nearest Neighbors trained at: 01:23:22\n",
            "K-Nearest Neighbors predicted at: 01:23:23\n",
            "K-Nearest Neighbors Accuracy: 0.5777777777777777\n",
            "Logistic Regression started at: 01:23:23\n",
            "Logistic Regression trained at: 01:23:49\n",
            "Logistic Regression predicted at: 01:23:49\n",
            "Logistic Regression Accuracy: 0.5777777777777777\n",
            "Running band 4\n",
            "SVM started at: 01:23:49\n",
            "SVM trained at: 01:23:57\n",
            "SVM predicted at: 01:23:59\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:23:59\n",
            "K-Nearest Neighbors trained at: 01:23:59\n",
            "K-Nearest Neighbors predicted at: 01:23:59\n",
            "K-Nearest Neighbors Accuracy: 0.5333333333333333\n",
            "Logistic Regression started at: 01:23:59\n",
            "Logistic Regression trained at: 01:24:25\n",
            "Logistic Regression predicted at: 01:24:25\n",
            "Logistic Regression Accuracy: 0.6370370370370371\n",
            "Running fold 2\n",
            "Running band 0\n",
            "SVM started at: 01:24:25\n",
            "SVM trained at: 01:24:33\n",
            "SVM predicted at: 01:24:35\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:24:35\n",
            "K-Nearest Neighbors trained at: 01:24:35\n",
            "K-Nearest Neighbors predicted at: 01:24:35\n",
            "K-Nearest Neighbors Accuracy: 0.42962962962962964\n",
            "Logistic Regression started at: 01:24:35\n",
            "Logistic Regression trained at: 01:25:01\n",
            "Logistic Regression predicted at: 01:25:01\n",
            "Logistic Regression Accuracy: 0.6\n",
            "Running band 1\n",
            "SVM started at: 01:25:01\n",
            "SVM trained at: 01:25:07\n",
            "SVM predicted at: 01:25:09\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:25:09\n",
            "K-Nearest Neighbors trained at: 01:25:09\n",
            "K-Nearest Neighbors predicted at: 01:25:09\n",
            "K-Nearest Neighbors Accuracy: 0.35555555555555557\n",
            "Logistic Regression started at: 01:25:09\n",
            "Logistic Regression trained at: 01:25:31\n",
            "Logistic Regression predicted at: 01:25:31\n",
            "Logistic Regression Accuracy: 0.7111111111111111\n",
            "Running band 2\n",
            "SVM started at: 01:25:31\n",
            "SVM trained at: 01:25:39\n",
            "SVM predicted at: 01:25:40\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:25:41\n",
            "K-Nearest Neighbors trained at: 01:25:41\n",
            "K-Nearest Neighbors predicted at: 01:25:41\n",
            "K-Nearest Neighbors Accuracy: 0.3925925925925926\n",
            "Logistic Regression started at: 01:25:41\n",
            "Logistic Regression trained at: 01:26:00\n",
            "Logistic Regression predicted at: 01:26:00\n",
            "Logistic Regression Accuracy: 0.5407407407407407\n",
            "Running band 3\n",
            "SVM started at: 01:26:00\n",
            "SVM trained at: 01:26:09\n",
            "SVM predicted at: 01:26:11\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:26:11\n",
            "K-Nearest Neighbors trained at: 01:26:11\n",
            "K-Nearest Neighbors predicted at: 01:26:11\n",
            "K-Nearest Neighbors Accuracy: 0.4888888888888889\n",
            "Logistic Regression started at: 01:26:11\n",
            "Logistic Regression trained at: 01:26:30\n",
            "Logistic Regression predicted at: 01:26:30\n",
            "Logistic Regression Accuracy: 0.5111111111111111\n",
            "Running band 4\n",
            "SVM started at: 01:26:31\n",
            "SVM trained at: 01:26:39\n",
            "SVM predicted at: 01:26:41\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:26:42\n",
            "K-Nearest Neighbors trained at: 01:26:42\n",
            "K-Nearest Neighbors predicted at: 01:26:42\n",
            "K-Nearest Neighbors Accuracy: 0.5259259259259259\n",
            "Logistic Regression started at: 01:26:42\n",
            "Logistic Regression trained at: 01:27:05\n",
            "Logistic Regression predicted at: 01:27:05\n",
            "Logistic Regression Accuracy: 0.5851851851851851\n",
            "Running fold 3\n",
            "Running band 0\n",
            "SVM started at: 01:27:05\n",
            "SVM trained at: 01:27:13\n",
            "SVM predicted at: 01:27:15\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:27:15\n",
            "K-Nearest Neighbors trained at: 01:27:15\n",
            "K-Nearest Neighbors predicted at: 01:27:15\n",
            "K-Nearest Neighbors Accuracy: 0.4888888888888889\n",
            "Logistic Regression started at: 01:27:15\n",
            "Logistic Regression trained at: 01:27:38\n",
            "Logistic Regression predicted at: 01:27:38\n",
            "Logistic Regression Accuracy: 0.5333333333333333\n",
            "Running band 1\n",
            "SVM started at: 01:27:39\n",
            "SVM trained at: 01:27:47\n",
            "SVM predicted at: 01:27:49\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:27:49\n",
            "K-Nearest Neighbors trained at: 01:27:49\n",
            "K-Nearest Neighbors predicted at: 01:27:49\n",
            "K-Nearest Neighbors Accuracy: 0.42962962962962964\n",
            "Logistic Regression started at: 01:27:49\n",
            "Logistic Regression trained at: 01:28:07\n",
            "Logistic Regression predicted at: 01:28:07\n",
            "Logistic Regression Accuracy: 0.5259259259259259\n",
            "Running band 2\n",
            "SVM started at: 01:28:07\n",
            "SVM trained at: 01:28:16\n",
            "SVM predicted at: 01:28:18\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:28:18\n",
            "K-Nearest Neighbors trained at: 01:28:18\n",
            "K-Nearest Neighbors predicted at: 01:28:18\n",
            "K-Nearest Neighbors Accuracy: 0.4666666666666667\n",
            "Logistic Regression started at: 01:28:18\n",
            "Logistic Regression trained at: 01:28:36\n",
            "Logistic Regression predicted at: 01:28:36\n",
            "Logistic Regression Accuracy: 0.6074074074074074\n",
            "Running band 3\n",
            "SVM started at: 01:28:36\n",
            "SVM trained at: 01:28:42\n",
            "SVM predicted at: 01:28:46\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:28:47\n",
            "K-Nearest Neighbors trained at: 01:28:47\n",
            "K-Nearest Neighbors predicted at: 01:28:47\n",
            "K-Nearest Neighbors Accuracy: 0.562962962962963\n",
            "Logistic Regression started at: 01:28:47\n",
            "Logistic Regression trained at: 01:29:11\n",
            "Logistic Regression predicted at: 01:29:11\n",
            "Logistic Regression Accuracy: 0.5111111111111111\n",
            "Running band 4\n",
            "SVM started at: 01:29:12\n",
            "SVM trained at: 01:29:18\n",
            "SVM predicted at: 01:29:21\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:29:21\n",
            "K-Nearest Neighbors trained at: 01:29:21\n",
            "K-Nearest Neighbors predicted at: 01:29:22\n",
            "K-Nearest Neighbors Accuracy: 0.4740740740740741\n",
            "Logistic Regression started at: 01:29:22\n",
            "Logistic Regression trained at: 01:29:39\n",
            "Logistic Regression predicted at: 01:29:39\n",
            "Logistic Regression Accuracy: 0.4074074074074074\n",
            "Running fold 4\n",
            "Running band 0\n",
            "SVM started at: 01:29:40\n",
            "SVM trained at: 01:29:44\n",
            "SVM predicted at: 01:29:46\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:29:46\n",
            "K-Nearest Neighbors trained at: 01:29:46\n",
            "K-Nearest Neighbors predicted at: 01:29:46\n",
            "K-Nearest Neighbors Accuracy: 0.4\n",
            "Logistic Regression started at: 01:29:47\n",
            "Logistic Regression trained at: 01:29:48\n",
            "Logistic Regression predicted at: 01:29:48\n",
            "Logistic Regression Accuracy: 0.3333333333333333\n",
            "Running band 1\n",
            "SVM started at: 01:29:48\n",
            "SVM trained at: 01:29:56\n",
            "SVM predicted at: 01:29:58\n",
            "SVM Accuracy: 0.34074074074074073\n",
            "K-Nearest Neighbors started at: 01:29:59\n",
            "K-Nearest Neighbors trained at: 01:29:59\n",
            "K-Nearest Neighbors predicted at: 01:29:59\n",
            "K-Nearest Neighbors Accuracy: 0.3925925925925926\n",
            "Logistic Regression started at: 01:29:59\n",
            "Logistic Regression trained at: 01:30:12\n",
            "Logistic Regression predicted at: 01:30:12\n",
            "Logistic Regression Accuracy: 0.6074074074074074\n",
            "Running band 2\n",
            "SVM started at: 01:30:12\n",
            "SVM trained at: 01:30:17\n",
            "SVM predicted at: 01:30:19\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:30:19\n",
            "K-Nearest Neighbors trained at: 01:30:19\n",
            "K-Nearest Neighbors predicted at: 01:30:19\n",
            "K-Nearest Neighbors Accuracy: 0.5333333333333333\n",
            "Logistic Regression started at: 01:30:19\n",
            "Logistic Regression trained at: 01:30:36\n",
            "Logistic Regression predicted at: 01:30:36\n",
            "Logistic Regression Accuracy: 0.5259259259259259\n",
            "Running band 3\n",
            "SVM started at: 01:30:36\n",
            "SVM trained at: 01:30:44\n",
            "SVM predicted at: 01:30:46\n",
            "SVM Accuracy: 0.31851851851851853\n",
            "K-Nearest Neighbors started at: 01:30:46\n",
            "K-Nearest Neighbors trained at: 01:30:46\n",
            "K-Nearest Neighbors predicted at: 01:30:46\n",
            "K-Nearest Neighbors Accuracy: 0.4740740740740741\n",
            "Logistic Regression started at: 01:30:46\n",
            "Logistic Regression trained at: 01:31:04\n",
            "Logistic Regression predicted at: 01:31:04\n",
            "Logistic Regression Accuracy: 0.5111111111111111\n",
            "Running band 4\n",
            "SVM started at: 01:31:04\n",
            "SVM trained at: 01:31:10\n",
            "SVM predicted at: 01:31:14\n",
            "SVM Accuracy: 0.3333333333333333\n",
            "K-Nearest Neighbors started at: 01:31:14\n",
            "K-Nearest Neighbors trained at: 01:31:14\n",
            "K-Nearest Neighbors predicted at: 01:31:14\n",
            "K-Nearest Neighbors Accuracy: 0.4222222222222222\n",
            "Logistic Regression started at: 01:31:14\n",
            "Logistic Regression trained at: 01:31:31\n",
            "Logistic Regression predicted at: 01:31:31\n",
            "Logistic Regression Accuracy: 0.5703703703703704\n",
            "\n",
            "\n",
            "Running feature 10:rasm_LDS\n",
            "Running fold 0\n",
            "Running band 0\n",
            "SVM started at: 01:31:31\n",
            "SVM trained at: 01:31:35\n",
            "SVM predicted at: 01:31:36\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:31:36\n",
            "K-Nearest Neighbors trained at: 01:31:36\n",
            "K-Nearest Neighbors predicted at: 01:31:36\n",
            "K-Nearest Neighbors Accuracy: 0.7481481481481481\n",
            "Logistic Regression started at: 01:31:36\n",
            "Logistic Regression trained at: 01:31:46\n",
            "Logistic Regression predicted at: 01:31:46\n",
            "Logistic Regression Accuracy: 0.7481481481481481\n",
            "Running band 1\n",
            "SVM started at: 01:31:46\n",
            "SVM trained at: 01:31:50\n",
            "SVM predicted at: 01:31:52\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:31:52\n",
            "K-Nearest Neighbors trained at: 01:31:52\n",
            "K-Nearest Neighbors predicted at: 01:31:52\n",
            "K-Nearest Neighbors Accuracy: 0.7481481481481481\n",
            "Logistic Regression started at: 01:31:52\n",
            "Logistic Regression trained at: 01:32:02\n",
            "Logistic Regression predicted at: 01:32:02\n",
            "Logistic Regression Accuracy: 0.7481481481481481\n",
            "Running band 2\n",
            "SVM started at: 01:32:02\n",
            "SVM trained at: 01:32:07\n",
            "SVM predicted at: 01:32:08\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:32:08\n",
            "K-Nearest Neighbors trained at: 01:32:08\n",
            "K-Nearest Neighbors predicted at: 01:32:08\n",
            "K-Nearest Neighbors Accuracy: 0.7555555555555555\n",
            "Logistic Regression started at: 01:32:08\n",
            "Logistic Regression trained at: 01:32:18\n",
            "Logistic Regression predicted at: 01:32:18\n",
            "Logistic Regression Accuracy: 0.7333333333333333\n",
            "Running band 3\n",
            "SVM started at: 01:32:18\n",
            "SVM trained at: 01:32:23\n",
            "SVM predicted at: 01:32:24\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:32:24\n",
            "K-Nearest Neighbors trained at: 01:32:24\n",
            "K-Nearest Neighbors predicted at: 01:32:24\n",
            "K-Nearest Neighbors Accuracy: 0.725925925925926\n",
            "Logistic Regression started at: 01:32:25\n",
            "Logistic Regression trained at: 01:32:33\n",
            "Logistic Regression predicted at: 01:32:33\n",
            "Logistic Regression Accuracy: 0.7333333333333333\n",
            "Running band 4\n",
            "SVM started at: 01:32:34\n",
            "SVM trained at: 01:32:38\n",
            "SVM predicted at: 01:32:40\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:32:40\n",
            "K-Nearest Neighbors trained at: 01:32:40\n",
            "K-Nearest Neighbors predicted at: 01:32:40\n",
            "K-Nearest Neighbors Accuracy: 0.7407407407407407\n",
            "Logistic Regression started at: 01:32:40\n",
            "Logistic Regression trained at: 01:32:49\n",
            "Logistic Regression predicted at: 01:32:49\n",
            "Logistic Regression Accuracy: 0.7407407407407407\n",
            "Running fold 1\n",
            "Running band 0\n",
            "SVM started at: 01:32:49\n",
            "SVM trained at: 01:32:54\n",
            "SVM predicted at: 01:32:56\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:32:56\n",
            "K-Nearest Neighbors trained at: 01:32:56\n",
            "K-Nearest Neighbors predicted at: 01:32:56\n",
            "K-Nearest Neighbors Accuracy: 0.7185185185185186\n",
            "Logistic Regression started at: 01:32:56\n",
            "Logistic Regression trained at: 01:33:05\n",
            "Logistic Regression predicted at: 01:33:05\n",
            "Logistic Regression Accuracy: 0.7333333333333333\n",
            "Running band 1\n",
            "SVM started at: 01:33:06\n",
            "SVM trained at: 01:33:10\n",
            "SVM predicted at: 01:33:12\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:33:12\n",
            "K-Nearest Neighbors trained at: 01:33:12\n",
            "K-Nearest Neighbors predicted at: 01:33:12\n",
            "K-Nearest Neighbors Accuracy: 0.7037037037037037\n",
            "Logistic Regression started at: 01:33:12\n",
            "Logistic Regression trained at: 01:33:21\n",
            "Logistic Regression predicted at: 01:33:21\n",
            "Logistic Regression Accuracy: 0.7407407407407407\n",
            "Running band 2\n",
            "SVM started at: 01:33:21\n",
            "SVM trained at: 01:33:26\n",
            "SVM predicted at: 01:33:28\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:33:28\n",
            "K-Nearest Neighbors trained at: 01:33:28\n",
            "K-Nearest Neighbors predicted at: 01:33:28\n",
            "K-Nearest Neighbors Accuracy: 0.7333333333333333\n",
            "Logistic Regression started at: 01:33:28\n",
            "Logistic Regression trained at: 01:33:37\n",
            "Logistic Regression predicted at: 01:33:37\n",
            "Logistic Regression Accuracy: 0.7407407407407407\n",
            "Running band 3\n",
            "SVM started at: 01:33:37\n",
            "SVM trained at: 01:33:42\n",
            "SVM predicted at: 01:33:44\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:33:44\n",
            "K-Nearest Neighbors trained at: 01:33:44\n",
            "K-Nearest Neighbors predicted at: 01:33:44\n",
            "K-Nearest Neighbors Accuracy: 0.7037037037037037\n",
            "Logistic Regression started at: 01:33:44\n",
            "Logistic Regression trained at: 01:33:53\n",
            "Logistic Regression predicted at: 01:33:53\n",
            "Logistic Regression Accuracy: 0.725925925925926\n",
            "Running band 4\n",
            "SVM started at: 01:33:53\n",
            "SVM trained at: 01:33:58\n",
            "SVM predicted at: 01:33:59\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:34:00\n",
            "K-Nearest Neighbors trained at: 01:34:00\n",
            "K-Nearest Neighbors predicted at: 01:34:00\n",
            "K-Nearest Neighbors Accuracy: 0.6592592592592592\n",
            "Logistic Regression started at: 01:34:00\n",
            "Logistic Regression trained at: 01:34:09\n",
            "Logistic Regression predicted at: 01:34:09\n",
            "Logistic Regression Accuracy: 0.7555555555555555\n",
            "Running fold 2\n",
            "Running band 0\n",
            "SVM started at: 01:34:09\n",
            "SVM trained at: 01:34:14\n",
            "SVM predicted at: 01:34:15\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:34:16\n",
            "K-Nearest Neighbors trained at: 01:34:16\n",
            "K-Nearest Neighbors predicted at: 01:34:16\n",
            "K-Nearest Neighbors Accuracy: 0.7333333333333333\n",
            "Logistic Regression started at: 01:34:16\n",
            "Logistic Regression trained at: 01:34:25\n",
            "Logistic Regression predicted at: 01:34:25\n",
            "Logistic Regression Accuracy: 0.7703703703703704\n",
            "Running band 1\n",
            "SVM started at: 01:34:25\n",
            "SVM trained at: 01:34:30\n",
            "SVM predicted at: 01:34:32\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:34:32\n",
            "K-Nearest Neighbors trained at: 01:34:32\n",
            "K-Nearest Neighbors predicted at: 01:34:32\n",
            "K-Nearest Neighbors Accuracy: 0.7777777777777778\n",
            "Logistic Regression started at: 01:34:32\n",
            "Logistic Regression trained at: 01:34:41\n",
            "Logistic Regression predicted at: 01:34:41\n",
            "Logistic Regression Accuracy: 0.7851851851851852\n",
            "Running band 2\n",
            "SVM started at: 01:34:42\n",
            "SVM trained at: 01:34:48\n",
            "SVM predicted at: 01:34:49\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:34:49\n",
            "K-Nearest Neighbors trained at: 01:34:49\n",
            "K-Nearest Neighbors predicted at: 01:34:49\n",
            "K-Nearest Neighbors Accuracy: 0.762962962962963\n",
            "Logistic Regression started at: 01:34:49\n",
            "Logistic Regression trained at: 01:34:59\n",
            "Logistic Regression predicted at: 01:34:59\n",
            "Logistic Regression Accuracy: 0.7777777777777778\n",
            "Running band 3\n",
            "SVM started at: 01:34:59\n",
            "SVM trained at: 01:35:04\n",
            "SVM predicted at: 01:35:05\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:35:05\n",
            "K-Nearest Neighbors trained at: 01:35:05\n",
            "K-Nearest Neighbors predicted at: 01:35:05\n",
            "K-Nearest Neighbors Accuracy: 0.7777777777777778\n",
            "Logistic Regression started at: 01:35:05\n",
            "Logistic Regression trained at: 01:35:15\n",
            "Logistic Regression predicted at: 01:35:15\n",
            "Logistic Regression Accuracy: 0.674074074074074\n",
            "Running band 4\n",
            "SVM started at: 01:35:15\n",
            "SVM trained at: 01:35:20\n",
            "SVM predicted at: 01:35:21\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:35:21\n",
            "K-Nearest Neighbors trained at: 01:35:21\n",
            "K-Nearest Neighbors predicted at: 01:35:21\n",
            "K-Nearest Neighbors Accuracy: 0.7407407407407407\n",
            "Logistic Regression started at: 01:35:21\n",
            "Logistic Regression trained at: 01:35:31\n",
            "Logistic Regression predicted at: 01:35:31\n",
            "Logistic Regression Accuracy: 0.7037037037037037\n",
            "Running fold 3\n",
            "Running band 0\n",
            "SVM started at: 01:35:31\n",
            "SVM trained at: 01:35:35\n",
            "SVM predicted at: 01:35:37\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:35:37\n",
            "K-Nearest Neighbors trained at: 01:35:37\n",
            "K-Nearest Neighbors predicted at: 01:35:37\n",
            "K-Nearest Neighbors Accuracy: 0.7555555555555555\n",
            "Logistic Regression started at: 01:35:37\n",
            "Logistic Regression trained at: 01:35:46\n",
            "Logistic Regression predicted at: 01:35:46\n",
            "Logistic Regression Accuracy: 0.6962962962962963\n",
            "Running band 1\n",
            "SVM started at: 01:35:46\n",
            "SVM trained at: 01:35:51\n",
            "SVM predicted at: 01:35:52\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:35:53\n",
            "K-Nearest Neighbors trained at: 01:35:53\n",
            "K-Nearest Neighbors predicted at: 01:35:53\n",
            "K-Nearest Neighbors Accuracy: 0.7925925925925926\n",
            "Logistic Regression started at: 01:35:53\n",
            "Logistic Regression trained at: 01:36:01\n",
            "Logistic Regression predicted at: 01:36:01\n",
            "Logistic Regression Accuracy: 0.7407407407407407\n",
            "Running band 2\n",
            "SVM started at: 01:36:01\n",
            "SVM trained at: 01:36:07\n",
            "SVM predicted at: 01:36:08\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:36:09\n",
            "K-Nearest Neighbors trained at: 01:36:09\n",
            "K-Nearest Neighbors predicted at: 01:36:09\n",
            "K-Nearest Neighbors Accuracy: 0.6814814814814815\n",
            "Logistic Regression started at: 01:36:09\n",
            "Logistic Regression trained at: 01:36:18\n",
            "Logistic Regression predicted at: 01:36:18\n",
            "Logistic Regression Accuracy: 0.7555555555555555\n",
            "Running band 3\n",
            "SVM started at: 01:36:18\n",
            "SVM trained at: 01:36:24\n",
            "SVM predicted at: 01:36:25\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:36:25\n",
            "K-Nearest Neighbors trained at: 01:36:25\n",
            "K-Nearest Neighbors predicted at: 01:36:25\n",
            "K-Nearest Neighbors Accuracy: 0.7111111111111111\n",
            "Logistic Regression started at: 01:36:26\n",
            "Logistic Regression trained at: 01:36:34\n",
            "Logistic Regression predicted at: 01:36:34\n",
            "Logistic Regression Accuracy: 0.762962962962963\n",
            "Running band 4\n",
            "SVM started at: 01:36:34\n",
            "SVM trained at: 01:36:40\n",
            "SVM predicted at: 01:36:41\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:36:41\n",
            "K-Nearest Neighbors trained at: 01:36:41\n",
            "K-Nearest Neighbors predicted at: 01:36:41\n",
            "K-Nearest Neighbors Accuracy: 0.6518518518518519\n",
            "Logistic Regression started at: 01:36:41\n",
            "Logistic Regression trained at: 01:36:50\n",
            "Logistic Regression predicted at: 01:36:50\n",
            "Logistic Regression Accuracy: 0.7333333333333333\n",
            "Running fold 4\n",
            "Running band 0\n",
            "SVM started at: 01:36:50\n",
            "SVM trained at: 01:36:56\n",
            "SVM predicted at: 01:36:57\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:36:57\n",
            "K-Nearest Neighbors trained at: 01:36:57\n",
            "K-Nearest Neighbors predicted at: 01:36:57\n",
            "K-Nearest Neighbors Accuracy: 0.7185185185185186\n",
            "Logistic Regression started at: 01:36:58\n",
            "Logistic Regression trained at: 01:37:06\n",
            "Logistic Regression predicted at: 01:37:06\n",
            "Logistic Regression Accuracy: 0.7703703703703704\n",
            "Running band 1\n",
            "SVM started at: 01:37:06\n",
            "SVM trained at: 01:37:11\n",
            "SVM predicted at: 01:37:13\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:37:13\n",
            "K-Nearest Neighbors trained at: 01:37:13\n",
            "K-Nearest Neighbors predicted at: 01:37:13\n",
            "K-Nearest Neighbors Accuracy: 0.725925925925926\n",
            "Logistic Regression started at: 01:37:13\n",
            "Logistic Regression trained at: 01:37:22\n",
            "Logistic Regression predicted at: 01:37:22\n",
            "Logistic Regression Accuracy: 0.7703703703703704\n",
            "Running band 2\n",
            "SVM started at: 01:37:22\n",
            "SVM trained at: 01:37:27\n",
            "SVM predicted at: 01:37:29\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:37:29\n",
            "K-Nearest Neighbors trained at: 01:37:29\n",
            "K-Nearest Neighbors predicted at: 01:37:29\n",
            "K-Nearest Neighbors Accuracy: 0.674074074074074\n",
            "Logistic Regression started at: 01:37:29\n",
            "Logistic Regression trained at: 01:37:37\n",
            "Logistic Regression predicted at: 01:37:37\n",
            "Logistic Regression Accuracy: 0.7333333333333333\n",
            "Running band 3\n",
            "SVM started at: 01:37:38\n",
            "SVM trained at: 01:37:43\n",
            "SVM predicted at: 01:37:45\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:37:45\n",
            "K-Nearest Neighbors trained at: 01:37:45\n",
            "K-Nearest Neighbors predicted at: 01:37:45\n",
            "K-Nearest Neighbors Accuracy: 0.7777777777777778\n",
            "Logistic Regression started at: 01:37:45\n",
            "Logistic Regression trained at: 01:37:53\n",
            "Logistic Regression predicted at: 01:37:53\n",
            "Logistic Regression Accuracy: 0.725925925925926\n",
            "Running band 4\n",
            "SVM started at: 01:37:54\n",
            "SVM trained at: 01:37:59\n",
            "SVM predicted at: 01:38:01\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:38:01\n",
            "K-Nearest Neighbors trained at: 01:38:01\n",
            "K-Nearest Neighbors predicted at: 01:38:01\n",
            "K-Nearest Neighbors Accuracy: 0.8074074074074075\n",
            "Logistic Regression started at: 01:38:01\n",
            "Logistic Regression trained at: 01:38:09\n",
            "Logistic Regression predicted at: 01:38:09\n",
            "Logistic Regression Accuracy: 0.7333333333333333\n",
            "\n",
            "\n",
            "Running feature 11:rasm_movingAve\n",
            "Running fold 0\n",
            "Running band 0\n",
            "SVM started at: 01:38:10\n",
            "SVM trained at: 01:38:16\n",
            "SVM predicted at: 01:38:17\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:38:17\n",
            "K-Nearest Neighbors trained at: 01:38:17\n",
            "K-Nearest Neighbors predicted at: 01:38:17\n",
            "K-Nearest Neighbors Accuracy: 0.725925925925926\n",
            "Logistic Regression started at: 01:38:17\n",
            "Logistic Regression trained at: 01:38:25\n",
            "Logistic Regression predicted at: 01:38:25\n",
            "Logistic Regression Accuracy: 0.8148148148148148\n",
            "Running band 1\n",
            "SVM started at: 01:38:26\n",
            "SVM trained at: 01:38:31\n",
            "SVM predicted at: 01:38:33\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:38:33\n",
            "K-Nearest Neighbors trained at: 01:38:33\n",
            "K-Nearest Neighbors predicted at: 01:38:33\n",
            "K-Nearest Neighbors Accuracy: 0.762962962962963\n",
            "Logistic Regression started at: 01:38:33\n",
            "Logistic Regression trained at: 01:38:42\n",
            "Logistic Regression predicted at: 01:38:42\n",
            "Logistic Regression Accuracy: 0.7925925925925926\n",
            "Running band 2\n",
            "SVM started at: 01:38:42\n",
            "SVM trained at: 01:38:47\n",
            "SVM predicted at: 01:38:49\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:38:49\n",
            "K-Nearest Neighbors trained at: 01:38:49\n",
            "K-Nearest Neighbors predicted at: 01:38:49\n",
            "K-Nearest Neighbors Accuracy: 0.7925925925925926\n",
            "Logistic Regression started at: 01:38:49\n",
            "Logistic Regression trained at: 01:38:57\n",
            "Logistic Regression predicted at: 01:38:57\n",
            "Logistic Regression Accuracy: 0.7925925925925926\n",
            "Running band 3\n",
            "SVM started at: 01:38:58\n",
            "SVM trained at: 01:39:03\n",
            "SVM predicted at: 01:39:05\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:39:05\n",
            "K-Nearest Neighbors trained at: 01:39:05\n",
            "K-Nearest Neighbors predicted at: 01:39:05\n",
            "K-Nearest Neighbors Accuracy: 0.725925925925926\n",
            "Logistic Regression started at: 01:39:05\n",
            "Logistic Regression trained at: 01:39:13\n",
            "Logistic Regression predicted at: 01:39:13\n",
            "Logistic Regression Accuracy: 0.7407407407407407\n",
            "Running band 4\n",
            "SVM started at: 01:39:13\n",
            "SVM trained at: 01:39:19\n",
            "SVM predicted at: 01:39:21\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:39:21\n",
            "K-Nearest Neighbors trained at: 01:39:21\n",
            "K-Nearest Neighbors predicted at: 01:39:21\n",
            "K-Nearest Neighbors Accuracy: 0.7185185185185186\n",
            "Logistic Regression started at: 01:39:21\n",
            "Logistic Regression trained at: 01:39:30\n",
            "Logistic Regression predicted at: 01:39:30\n",
            "Logistic Regression Accuracy: 0.7333333333333333\n",
            "Running fold 1\n",
            "Running band 0\n",
            "SVM started at: 01:39:30\n",
            "SVM trained at: 01:39:35\n",
            "SVM predicted at: 01:39:37\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:39:37\n",
            "K-Nearest Neighbors trained at: 01:39:37\n",
            "K-Nearest Neighbors predicted at: 01:39:37\n",
            "K-Nearest Neighbors Accuracy: 0.7185185185185186\n",
            "Logistic Regression started at: 01:39:37\n",
            "Logistic Regression trained at: 01:39:46\n",
            "Logistic Regression predicted at: 01:39:46\n",
            "Logistic Regression Accuracy: 0.7481481481481481\n",
            "Running band 1\n",
            "SVM started at: 01:39:46\n",
            "SVM trained at: 01:39:52\n",
            "SVM predicted at: 01:39:53\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:39:53\n",
            "K-Nearest Neighbors trained at: 01:39:53\n",
            "K-Nearest Neighbors predicted at: 01:39:53\n",
            "K-Nearest Neighbors Accuracy: 0.762962962962963\n",
            "Logistic Regression started at: 01:39:53\n",
            "Logistic Regression trained at: 01:40:02\n",
            "Logistic Regression predicted at: 01:40:02\n",
            "Logistic Regression Accuracy: 0.7481481481481481\n",
            "Running band 2\n",
            "SVM started at: 01:40:02\n",
            "SVM trained at: 01:40:07\n",
            "SVM predicted at: 01:40:09\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:40:09\n",
            "K-Nearest Neighbors trained at: 01:40:09\n",
            "K-Nearest Neighbors predicted at: 01:40:09\n",
            "K-Nearest Neighbors Accuracy: 0.7407407407407407\n",
            "Logistic Regression started at: 01:40:09\n",
            "Logistic Regression trained at: 01:40:17\n",
            "Logistic Regression predicted at: 01:40:17\n",
            "Logistic Regression Accuracy: 0.7925925925925926\n",
            "Running band 3\n",
            "SVM started at: 01:40:18\n",
            "SVM trained at: 01:40:23\n",
            "SVM predicted at: 01:40:24\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:40:24\n",
            "K-Nearest Neighbors trained at: 01:40:24\n",
            "K-Nearest Neighbors predicted at: 01:40:25\n",
            "K-Nearest Neighbors Accuracy: 0.7111111111111111\n",
            "Logistic Regression started at: 01:40:25\n",
            "Logistic Regression trained at: 01:40:33\n",
            "Logistic Regression predicted at: 01:40:33\n",
            "Logistic Regression Accuracy: 0.7333333333333333\n",
            "Running band 4\n",
            "SVM started at: 01:40:33\n",
            "SVM trained at: 01:40:39\n",
            "SVM predicted at: 01:40:40\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:40:40\n",
            "K-Nearest Neighbors trained at: 01:40:40\n",
            "K-Nearest Neighbors predicted at: 01:40:40\n",
            "K-Nearest Neighbors Accuracy: 0.6370370370370371\n",
            "Logistic Regression started at: 01:40:41\n",
            "Logistic Regression trained at: 01:40:49\n",
            "Logistic Regression predicted at: 01:40:49\n",
            "Logistic Regression Accuracy: 0.7333333333333333\n",
            "Running fold 2\n",
            "Running band 0\n",
            "SVM started at: 01:40:49\n",
            "SVM trained at: 01:40:55\n",
            "SVM predicted at: 01:40:56\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:40:57\n",
            "K-Nearest Neighbors trained at: 01:40:57\n",
            "K-Nearest Neighbors predicted at: 01:40:57\n",
            "K-Nearest Neighbors Accuracy: 0.7333333333333333\n",
            "Logistic Regression started at: 01:40:57\n",
            "Logistic Regression trained at: 01:41:05\n",
            "Logistic Regression predicted at: 01:41:05\n",
            "Logistic Regression Accuracy: 0.7555555555555555\n",
            "Running band 1\n",
            "SVM started at: 01:41:05\n",
            "SVM trained at: 01:41:11\n",
            "SVM predicted at: 01:41:12\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:41:12\n",
            "K-Nearest Neighbors trained at: 01:41:12\n",
            "K-Nearest Neighbors predicted at: 01:41:12\n",
            "K-Nearest Neighbors Accuracy: 0.7555555555555555\n",
            "Logistic Regression started at: 01:41:12\n",
            "Logistic Regression trained at: 01:41:21\n",
            "Logistic Regression predicted at: 01:41:21\n",
            "Logistic Regression Accuracy: 0.8518518518518519\n",
            "Running band 2\n",
            "SVM started at: 01:41:21\n",
            "SVM trained at: 01:41:27\n",
            "SVM predicted at: 01:41:28\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:41:28\n",
            "K-Nearest Neighbors trained at: 01:41:28\n",
            "K-Nearest Neighbors predicted at: 01:41:29\n",
            "K-Nearest Neighbors Accuracy: 0.7333333333333333\n",
            "Logistic Regression started at: 01:41:29\n",
            "Logistic Regression trained at: 01:41:37\n",
            "Logistic Regression predicted at: 01:41:37\n",
            "Logistic Regression Accuracy: 0.8\n",
            "Running band 3\n",
            "SVM started at: 01:41:38\n",
            "SVM trained at: 01:41:43\n",
            "SVM predicted at: 01:41:44\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:41:45\n",
            "K-Nearest Neighbors trained at: 01:41:45\n",
            "K-Nearest Neighbors predicted at: 01:41:45\n",
            "K-Nearest Neighbors Accuracy: 0.7925925925925926\n",
            "Logistic Regression started at: 01:41:45\n",
            "Logistic Regression trained at: 01:41:53\n",
            "Logistic Regression predicted at: 01:41:53\n",
            "Logistic Regression Accuracy: 0.725925925925926\n",
            "Running band 4\n",
            "SVM started at: 01:41:53\n",
            "SVM trained at: 01:41:59\n",
            "SVM predicted at: 01:42:00\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:42:01\n",
            "K-Nearest Neighbors trained at: 01:42:01\n",
            "K-Nearest Neighbors predicted at: 01:42:01\n",
            "K-Nearest Neighbors Accuracy: 0.762962962962963\n",
            "Logistic Regression started at: 01:42:01\n",
            "Logistic Regression trained at: 01:42:10\n",
            "Logistic Regression predicted at: 01:42:10\n",
            "Logistic Regression Accuracy: 0.7407407407407407\n",
            "Running fold 3\n",
            "Running band 0\n",
            "SVM started at: 01:42:10\n",
            "SVM trained at: 01:42:16\n",
            "SVM predicted at: 01:42:17\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:42:17\n",
            "K-Nearest Neighbors trained at: 01:42:17\n",
            "K-Nearest Neighbors predicted at: 01:42:17\n",
            "K-Nearest Neighbors Accuracy: 0.725925925925926\n",
            "Logistic Regression started at: 01:42:18\n",
            "Logistic Regression trained at: 01:42:26\n",
            "Logistic Regression predicted at: 01:42:26\n",
            "Logistic Regression Accuracy: 0.725925925925926\n",
            "Running band 1\n",
            "SVM started at: 01:42:27\n",
            "SVM trained at: 01:42:32\n",
            "SVM predicted at: 01:42:33\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:42:33\n",
            "K-Nearest Neighbors trained at: 01:42:33\n",
            "K-Nearest Neighbors predicted at: 01:42:34\n",
            "K-Nearest Neighbors Accuracy: 0.7703703703703704\n",
            "Logistic Regression started at: 01:42:34\n",
            "Logistic Regression trained at: 01:42:42\n",
            "Logistic Regression predicted at: 01:42:42\n",
            "Logistic Regression Accuracy: 0.7851851851851852\n",
            "Running band 2\n",
            "SVM started at: 01:42:43\n",
            "SVM trained at: 01:42:48\n",
            "SVM predicted at: 01:42:50\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:42:50\n",
            "K-Nearest Neighbors trained at: 01:42:50\n",
            "K-Nearest Neighbors predicted at: 01:42:50\n",
            "K-Nearest Neighbors Accuracy: 0.7185185185185186\n",
            "Logistic Regression started at: 01:42:50\n",
            "Logistic Regression trained at: 01:42:59\n",
            "Logistic Regression predicted at: 01:42:59\n",
            "Logistic Regression Accuracy: 0.762962962962963\n",
            "Running band 3\n",
            "SVM started at: 01:43:00\n",
            "SVM trained at: 01:43:05\n",
            "SVM predicted at: 01:43:06\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:43:06\n",
            "K-Nearest Neighbors trained at: 01:43:06\n",
            "K-Nearest Neighbors predicted at: 01:43:06\n",
            "K-Nearest Neighbors Accuracy: 0.725925925925926\n",
            "Logistic Regression started at: 01:43:06\n",
            "Logistic Regression trained at: 01:43:15\n",
            "Logistic Regression predicted at: 01:43:15\n",
            "Logistic Regression Accuracy: 0.7851851851851852\n",
            "Running band 4\n",
            "SVM started at: 01:43:15\n",
            "SVM trained at: 01:43:21\n",
            "SVM predicted at: 01:43:22\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:43:22\n",
            "K-Nearest Neighbors trained at: 01:43:22\n",
            "K-Nearest Neighbors predicted at: 01:43:22\n",
            "K-Nearest Neighbors Accuracy: 0.6814814814814815\n",
            "Logistic Regression started at: 01:43:22\n",
            "Logistic Regression trained at: 01:43:31\n",
            "Logistic Regression predicted at: 01:43:31\n",
            "Logistic Regression Accuracy: 0.7333333333333333\n",
            "Running fold 4\n",
            "Running band 0\n",
            "SVM started at: 01:43:31\n",
            "SVM trained at: 01:43:37\n",
            "SVM predicted at: 01:43:38\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:43:38\n",
            "K-Nearest Neighbors trained at: 01:43:38\n",
            "K-Nearest Neighbors predicted at: 01:43:38\n",
            "K-Nearest Neighbors Accuracy: 0.762962962962963\n",
            "Logistic Regression started at: 01:43:38\n",
            "Logistic Regression trained at: 01:43:47\n",
            "Logistic Regression predicted at: 01:43:47\n",
            "Logistic Regression Accuracy: 0.7333333333333333\n",
            "Running band 1\n",
            "SVM started at: 01:43:47\n",
            "SVM trained at: 01:43:52\n",
            "SVM predicted at: 01:43:54\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:43:54\n",
            "K-Nearest Neighbors trained at: 01:43:54\n",
            "K-Nearest Neighbors predicted at: 01:43:54\n",
            "K-Nearest Neighbors Accuracy: 0.725925925925926\n",
            "Logistic Regression started at: 01:43:54\n",
            "Logistic Regression trained at: 01:44:03\n",
            "Logistic Regression predicted at: 01:44:03\n",
            "Logistic Regression Accuracy: 0.7777777777777778\n",
            "Running band 2\n",
            "SVM started at: 01:44:03\n",
            "SVM trained at: 01:44:08\n",
            "SVM predicted at: 01:44:10\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:44:10\n",
            "K-Nearest Neighbors trained at: 01:44:10\n",
            "K-Nearest Neighbors predicted at: 01:44:10\n",
            "K-Nearest Neighbors Accuracy: 0.6814814814814815\n",
            "Logistic Regression started at: 01:44:10\n",
            "Logistic Regression trained at: 01:44:19\n",
            "Logistic Regression predicted at: 01:44:19\n",
            "Logistic Regression Accuracy: 0.7333333333333333\n",
            "Running band 3\n",
            "SVM started at: 01:44:19\n",
            "SVM trained at: 01:44:24\n",
            "SVM predicted at: 01:44:26\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:44:26\n",
            "K-Nearest Neighbors trained at: 01:44:26\n",
            "K-Nearest Neighbors predicted at: 01:44:26\n",
            "K-Nearest Neighbors Accuracy: 0.7333333333333333\n",
            "Logistic Regression started at: 01:44:26\n",
            "Logistic Regression trained at: 01:44:35\n",
            "Logistic Regression predicted at: 01:44:35\n",
            "Logistic Regression Accuracy: 0.7111111111111111\n",
            "Running band 4\n",
            "SVM started at: 01:44:35\n",
            "SVM trained at: 01:44:41\n",
            "SVM predicted at: 01:44:42\n",
            "SVM Accuracy: 0.7333333333333333\n",
            "K-Nearest Neighbors started at: 01:44:42\n",
            "K-Nearest Neighbors trained at: 01:44:42\n",
            "K-Nearest Neighbors predicted at: 01:44:42\n",
            "K-Nearest Neighbors Accuracy: 0.7925925925925926\n",
            "Logistic Regression started at: 01:44:42\n",
            "Logistic Regression trained at: 01:44:51\n",
            "Logistic Regression predicted at: 01:44:51\n",
            "Logistic Regression Accuracy: 0.7407407407407407\n"
          ]
        }
      ]
    }
  ]
}