Summary of SVM results for different classifiers.
收藏Figshare2015-12-02 更新2026-05-11 收录
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https://figshare.com/articles/dataset/_Summary_of_SVM_results_for_different_classifiers_/595229
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资源简介：
The table summarizes the SVM results for four different classifiers: RBPs vs. NNBPs (40 parameters), RBPs vs. NNBPs (10 top parameters), RBPs vs. NNBPs including only electrostatic patch features (34 parameters), RBP vs. large-patch NNBPs, and RBP vs. DBP.TP, true positives; TN, true negatives; FP, false positive; FN, false negatives; AUC, area under the curve. Sensitivity, specificity, accuracy, and MCC (Matthew's correlation coefficient) were calculated as described in Materials and Methods section.
创建时间：
2015-12-02
