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Figure 4 | BMC Bioinformatics

Figure 4

From: ETHNOPRED: a novel machine learning method for accurate continental and sub-continental ancestry identification and population stratification correction

Figure 4

A comparison of 10-fold cross validation accuracy of individual decision trees and ensembles of disjoint decision trees of variable size in European population classification problem using HapMap phase III datasets. An ensemble of 3 disjoint decision trees involving 31 SNPs has a 10-fold cross validation accuracy of 86.5% ± 2.4% which is significantly better than the baseline accuracy of 61.8%.

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