Table 3.

Machine learning result using minimizing impairment training data, showing the best accuracy.

Algorithm	Accuracy (%)	AUCa
OneR	84.23	0.848
Logistic regression	72.79	0.749
Naïve Bayes	65.23	0.752
Bayes Net	80.99	0.832
C4.5 decision tree	74.95	0.740
Random forest b	85.75	0.867
Multilayer perceptron	80.35	0.865
Support vector machine	79.70	0.794
K-nearest neighbors	82.07	0.890
Average	78.45	0.815

^aAUC: area under the curve.

^bThe best accuracy and area under the curve values are italicized.