Fig. 4.

Performance of machine learning models in OVCAR-8 MCTS classifications. A, histogram of the accuracy of machine learning models. B, model evaluation and classification performance of the cross-statistical. C, model evaluation and classification performance of the cross-screening. D, model evaluation and classification performance of the 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.