Machine learning of chemical reactivity from databases of organic reactions

The whole process was implemented with two databases of reactions, one involving BuNH2 as the reagent, and the other NaCNBH3, and negative information was derived using MOLMAP molecular descriptors, and classification models were developed with Random Forests based on MOL MAP descriptors.