ML Prototyping for Bioactivity Data

This workflow demonstrates model building for a bioactivity data set with several machine learning methods and binary fingerprints of molecules.
The input data needs molecules in an SD file and a column containing the activity (the outcome that should be predicted). A fingerprint type can be chosen and set in the configuration. A report summarizing the input data and the modeling results can be downloaded after the workflow completion.