To assess how well each fingerprint can be used for QSAR modeling of natural products, we evaluated them on 13 different bioactivity prediction datasets. Each classification dataset (Table ) was divided in three folds using an 80:10:10 ratio between training, validation and test set with scaffold split. For each fingerprint type, we then trained two models: