Table 2. Summary of the performance of PCM models.

Classification method	Maximum height of signature	Cross-validation		External prediction
		accuracy (%)	AUC	accuracy	AUC
Support Vector Machine	1	83.73	0.905	82.52	0.883
	2	85.13	0.920	87.04	0.922
	3*	85.68	0.923	88.33	0.940
Random Forest	1	83.03	0.900	87.53	0.933
	2	84.35	0.915	88.32	0.941
	3	84.16	0.918	88.63	0.946
k-Nearest Neighbors	1	78.97	0.865	80.38	0.866
	2	79.56	0.870	80.10	0.868
	3	78.48	0.860	79.54	0.865

^*Model implemented in Bioclipse Decision Support at www.cyp450model.org.