Table 8. Accuracy results of repeated double cross validation of the Random Forest and Linear Discriminant Analysis (LDA) models built to classify patients with prostate cancer and cancer-free controls based on blood PSA levels and urinary VOCs.

	Repeated double cross validation (%)
	Accuracy				Sensitivity				Specificity
Model	Mean	Min	Median	Max	Mean	Min	Median	Max	Mean	Min	Median	Max
Random Forest	70.88	52.94	70.59	82.86	80.16	60.00	80.00	100.00	58.23	28.57	57.14	85.71
LDA	65.09	47.06	64.71	80.00	75.56	45.00	75.00	100.00	50.80	14.29	50.00	85.71
	Monte-Carlo repeated double cross validation (%)
	Accuracy				Sensitivity				Specificity
Model	Mean	Min	Median	Max	Mean	Min	Median	Max	Mean	Min	Median	Max
Random Forest	50.52	26.47	50.00	73.53	64.09	35.71	64.29	94.74	36.72	5.88	37.50	64.29
LDA	49.89	32.35	50.00	72.73	64.70	38.46	65.00	90.00	34.70	0.00	33.33	81.82