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. 2018 Oct 8;9:458. doi: 10.3389/fgene.2018.00458

Table 4.

Performance evaluation on different classifiers.

Dataset Classifier Accuracy (%) Precision (%) Sensitivity (%) Specificity (%) MCC (%)
RPI369 LGBM 73.81 72.18 68.75 78.81 48.03
SVM 71.60 71.70 70.74 72.51 43.62
GBDT 71.74 71.79 70.74 72.79 43.90
RPI488 LGBM 89.52 93.28 94.30 84.17 79.02
SVM 86.22 88.62 89.86 82.27 72.44
GBDT 86.01 88.54 89.86 81.81 72.04

The bold value indicates this measure performance is the best among the compared methods.