Cardiovascular_Disease_Prediction

FE, tuning and comparison of the 15 popular models for Cardiovascular Disease prediction

Comparison of the optimal for each type models.

This kernel is based on the my kernel "Heart Disease - Comparison of 15 models"

Dataset : https://www.kaggle.com/benanakca/comparison-of-classification-disease-prediction

Table of Contents:

1. Import libraries
2. Download datasets
3. Preparing to modeling
4. Tuning models and test for all features
   1. Logistic Regression
   2. Support Vector Machines
   3. Linear SVC
   4. k-Nearest Neighbors algorithm
   5. Naive Bayes
   6. Perceptron
   7. Stochastic Gradient Descent
   8. Decision Tree Classifier
   9. Random Forests with GridSearchCV
   10. XGB Classifier with HyperOpt
   11. LGBM Classifier with HyperOpt
   12. GradientBoostingClassifier with HyperOpt
   13. RidgeClassifier
   14. BaggingClassifier
   15. ExtraTreesClassifier with HyperOpt
5. Models evaluation