Table 1. Statistics of the prediction performances.

Model	SE (RF/SVM)		SP (RF/SVM)		CO (RF/SVM)		AUC (RF/SVM)
	Training	Test	Training	Test	Training	Test	Training	Test
Model I	79.58%/76.31%	80.99%/77.50%	84.11%/85.85%	84.66%/85.91%	81.84%/81.08%	82.83%/81.71%	89.50/88.97	90.55/89.91
Model II	81.18%/77.66%	73.66%/74.11%	83.89%/86.11%	83.52%/85.49%	82.50%/81.78%	79.09%/80.38%	90.31/89.79	86.50/87.19
Model III	81.33%/77.56%	52.20%/55.17%	83.22%/85.35%	92.15%/93.62%	82.25%/81.34%	74.53%/76.66%	89.81/89.04	82.77/84.90
Model IV	71.90%/66.41%	32.52%/36.48%	90.25%/88.07%	91.21%/92.42%	82.46%/78.88%	66.09%/68.48%	88.99/85.62	72.64/75.47
Average	78.50%/74.49%	59.84%/60.82%	85.37%/86.35%	87.89%/89.36%	82.26%/80.77%	75.64%/76.81%	89.65/88.36	83.13/83.93

The AUC (ROC score) is the area under the ROC curve, normalized to 100 for a perfect inference and 50 for a random inference.