Classification performance by the trained classifier on the training and an independent test set.
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https://figshare.com/articles/dataset/_Classification_performance_by_the_trained_classifier_on_the_training_and_an_independent_test_set_/467115
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TP = true positive; TN = true negative; FP = false positive; FN = false negative; N = total number of proteins in dataset; SEN = TP/(TP+FN); SP = TN/(TN+FP); ACC = (TP+TN)/N; MCC = (TPxTN-FPxFN)/√((TP+FN)(TP+FP)(TN+FP) (TN+FN)); AUC is described in (37).
创建时间：
2015-12-02
