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Table 5 Comparison of my models and some existing tools

From: Incorporating support vector machine with sequential minimal optimization to identify anticancer peptides

Datasets Tool Sensitivity Specificity Accuracy MCC
Positive + negative 1 SMO-1 0.850 0.860 0.855 0.710
AntiCP-1 1 0 0.500
mACPpred 0.95 0.42 0.685 0.436
ACPred 0.930 0.330 0.630 0.325
ACPred-Fuse 0.820 0.870 0.845 0.691
ACPred-FL 0.88 0.39 0.635 0.310
Positive + negative 2 SMO-2 0.970 0.948 0.952 0.847
AntiCP-2 0.91 0.88 0.895 0.790
mACPpred 0.949 0.790 0.815 0.583
ACPred 0.930 0.724 0.758 0.501
ACPred-Fuse 0.820 0.836 0.833 0.549
ACPred-FL 0.880 0.024 0.167 − 0.183