Figure 8From: ETHNOPRED: a novel machine learning method for accurate continental and sub-continental ancestry identification and population stratification correctionA comparison of 10-fold cross validation accuracy of individual decision trees and ensembles of disjoint decision trees of variable size in Kenyan population classification problem using HapMap phase III datasets. An ensemble of 25 disjoint decision trees involving 271 SNPs has a 10-fold cross validation accuracy of 95.9% ± 1.5% which is significantly better than the baseline accuracy of 62.6%.Back to article page