OCHEM integrates a number of the state-of-the-art machine learning methods used for development of QSAR models. The methods (sorted alphabetically) include:
Page: ASNN - Associative Neural Networks
Page: Bagging
Page: Consensus model
Page: FSMLR
Page: J48 decision tree (Weka implementation)
Page: KNN (k nearest neighbors)
Page: LIBRARY meta-learning
Page: New: Transformer-CNN: Swiss knife for QSAR modeling and interpretation"
Page: Partial Least Squares (PLS)
Page: Random forest (Weka implementation)