Code and data for VarCoPP2.0.
Experiments in jupyter notebook.
Notebook contains experiments for feature set search through a wrapper approach, as well as evaluation of different model structures and model interpretation approaches.
Training and independent evaluation sets in data folder
Requirements to run notebook:
- python==3.9
- scikit-learn==1.1.1
- numpy==1.21.2
- pandas==1.3.3
- treeinterpreter==0.2.3
- multiprocess==0.70.13/multiprocessing
- tqdm==4.62.3
- seaborn==0.11.2
- imbalanced-learn==0.9.1