Table 1.

Classifier performance measures for prediction of morbid and druggable genes

Prediction of morbid genes
Performance measure			Median [min,max] 1			Median [min,max] 1			N			W	Wc (two-tailed p = 0.05)2
			Normal			Shuffled
Precision			0.658 [0.648,0.679]			0.495 [0.473,0.522]			10			0	8 *
Recall			0.648 [0.632,0.657]			0.502 [0.471,0.521]			10			0	8 *
AUC			0.716 [0.706,0.729]			0.498 [0.462,0.526]			10			0	8 *
Prediction of druggable genes
Performance measure			Median [min,max] 1			Median [min,max] 1			N			W	Wc (two-tailed p = 0.05)2
			Normal			Shuffled
Precision			0.748 [0.72,0.763]			0.5 [0.451,0.556]			10			0	8 *
Recall			0.782 [0.732,0.809]			0.492 [0.447,0.564]			10			0	8 *
AUC			0.820 [0.801,0.835]			0.500 [0.43,0.546]			10			0	8 *

¹ Of 10 datasets

² According to table of critical values for W in [6]

* Difference statistically significant