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Figure 5 | BMC Bioinformatics

Figure 5

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

Figure 5

A comparison of 10-fold cross validation accuracy of individual decision trees and ensembles of disjoint decision trees of variable size in East Asian population classification problem using HapMap phase III datasets. An ensemble of 39 disjoint decision trees involving 502 SNPs has a 10-fold cross validation accuracy of 95.6% ± 3.9% which is significantly better than the baseline accuracy of 54.8%.

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