Summary of machine learning models from 2D descriptors and fingerprints (Test set prediction).
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Note: RF: Random Forest, SVM: Support vector machine, KNN: Kappa nearest neighbor, TP: True Positive, FN: False negative, TN: True negative, FP: False positive, Sens.: Sensitivity, Spec.: Specificity, G-M: G-Mean, AUC: Area under curve, MCC: Mathews correlation coefficient, DT#: Decision tree training model and DT¢ : Decision tree 10-fold cross validation.
创建时间：
2013-09-16
