Table 2.

The best predictive performance of the different methods

Method	#SNP	ASW	CEU	CHB/CHD/JPT	GIH	LWK	MEX	MKK	TSI	YRI	Total
SMO	2192	0.932	0.921	1.000	1.000	0.926	0.945	0.987	0.724	0.994	0.955
IB1	2413	0.757	0.943	1.000	0.930	0.213	0.863	0.795	0.483	1.000	0.838
Dagging	186	0.338	0.964	1.000	0.988	0.383	0.808	0.968	0.345	0.994	0.840
RandomForest	75	0.459	0.900	0.993	0.884	0.543	0.74	0.853	0.345	0.931	0.815