Fig. 8.

Performance of machine learning models in OVCAR-4 MCTS with different drug treatment classifications. A, B, and C, histogram of the accuracy of machine learning models in OVCAR-4 MCTS with 1 µM, 10 µM, and 25 µM 2-ME, AZD, and R-ke. D, E, and F, classification performance of the cross-statistical, cross-screening, and composite-hyperparameter. DT, decision tree. GB, gradient boosting. kNN, k nearest neighbor. LG, logistics. NB, naïve bayes. SVM, support vector machine. AH, agglomerative hierarchical. BC, birch. GM, Gaussian mixture. KM, k means. MBK, mini batch k-means. ST, spectral.