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The aim was to compare the performance of Two Adaptive Boosting ensembles based on ECFP and 16 selected physicochemical descriptors using the F-1 score on an external set of 54 molecules. The training molecules were obtained from BitterDB, SupersweetDB and Fenaroli's handbook of flavor ingredients. The ECFP6-1024bit were created using the RDKit package in an Anaconda environment. The physicochemical descriptors were calculated using the Mordred package. The method for selecting thedoi:10.2478/ebtj-2021-0030 fatcat:z4m6cey7tbf5ll5c473ocvb52e