-Dataset Separation for 3-fold Cross Validation A total of 119 compounds with Kp values in nine tissues, LogP, fu, DrugClass, and fi, were collected from a previous report (Figure ) and were separated into 42 compounds with complete Kp data and 77 compounds with missing Kp values (Figure ). In fold 1, 14 compounds were randomly selected from the 42 compounds identified in the previous step and used as the test dataset. A total of 105 compounds consisting of 28 filled Kp compounds and 77 compounds with missing Kp values, were used as the training dataset. Folds 2 and 3 included repeating the processes in fold 1 by selecting 14 different test compounds other than those utilized in fold 1 (Figure ).