Table 7. Accuracy results of repeated 10 fold 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 10 fold cross validation (%)
Model	Min.	1st.Qu.	Median	Mean	3rd.Qu.	Max.
Random Forest	20.00	66.67	72.73	73.69	80.00	100.00
LDA	22.22	58.89	63.64	64.85	72.73	100.00
	Monte-Carlo 10 fold cross validation (%)
Model	Min.	1st.Qu.	Median	Mean	3rd.Qu.	Max.
Random Forest	10.00	45.45	55.56	55.79	66.67	90.91
LDA	10.00	40.00	50.00	48.00	60.00	88.89