Table 1. Classifier Performance.

Accuracy, AUC, precision and recall for all classifiers tested. Bold values indicated the highest value, and multiple bold values indicate that they were statistically the same. AUC, precision, and recall were all computed as weighted averages based on the size of each locus.

Classifier	Accuracy	AUC	Precision	Recall
Bagging	43.86% (3.06)	0.82 (0.02)	0.37 (0.03)	0.44 (0.03)
RF	43.14% (3.16)	0.71 (0.16)	0.37 (0.04)	0.43 (0.03)
MI-SVM	42.95% (2.91)	0.80 (0.16)	0.31 (0.03)	0.43 (0.03)
SVM	40.99% (2.57)	0.79 (0.17)	0.26 (0.02)	0.41 0.03
Majority	19.72% (0.34)	0.50 (0.00)	0.04 (0.00)	0.20 0.00