The 330 molecules previously unused in the research that were separated from reduced original dataset were used to test final models. Table shows achieved balanced accuracy, and F-score of baseline and 3 sets of predictors with 5 different seeds of pseudorandom generators of the machine learning algorithms. When FQDs are applied as predictors, lower results are yielded.