"# SELPPI" Among the four files in the code folder, SELPPI.py is the model used in this article, which relies on the other three files and uses the data in the dataset folder for training. metrics.py contains the metrics used in this article. molfeaturizer.py is used to obtain molecular features from the SMILE strings of molecules. feature_ ensemble.py is utilized to obtain the performance of base learners and select meta learners.