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. 2018 Jul 25;4(7):e00705. doi: 10.1016/j.heliyon.2018.e00705

Table 1.

Prediction performance of the afpCOOL on two benchmark datasets in a 10-fold cross validation (10-fold CV) and leave-one-out (LOOCV) procedures. The AFP481 dataset contains 300 AFPs and 300 non-AFPs; and, the AFP517 dataset contains 517AFPs and 517non-AFPs.

Dataset Performance measures
Accuracy Precision Sensitivity F-Measure MCC AUC
10-Fold CV AFP481 0.93 0.93 0.93 0.93 0.87 0.93
AFP517 0.91 0.92 0.92 0.92 0.84 0.92
LOOCV AFP481 0.89 0.90 0.88 0.86 0.78 0.91
AFP517 0.91 0.90 0.89 0.90 0.81 0.90