(We will elaborate more after publication)
- code for data preparation (dataset_preparation.py)
- code for model development and validation using bootstraping (experiment.py)
- code for the analysis of the influence of the number of features in model performance (n_features.py)
- code for the analysis of the feature importances (feature_importance.py)
- objects of the developed models as pickles (model_objects)
- statistical analysis (statistic_analysis.py)