Additional results

Below are the full results for all four included regression models: Lasso, Ridge, Gradient Booster Trees (GBTR), and Support Vector Regressor (SVR) regression models.

How to run the experiments

Unsuitable Target Distribution

First, a directory to store the datasets in has to be defined:

export DATA_DIR=<path_to_datasets_dir>

And a directory to store the results in:

export RESULTS_DIR=<path_to_results_dir>

Then, run the experiments with:

python3 -m src.experiments.imbalanced_distribution <dataset>

where <dataset> is either

• the name of a dataset from src.experiments.data
• "all", which will run all datasets included in the paper

Finally, the LateX table can be generated with:

python3 -m src.experiments.print_results.run imbalanced_distribution -d <dataset> --latex

Acknowledgements

This work received funding from the Interuniversity Special Research Fund (IBOF/21/075) and the Flemish Government under the “Onderzoeksprogramma Artifciële Intelligentie (AI) Vlaanderen” program.