Figure 9From: 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 Chinese population classification problem using HapMap phase III datasets. We considered several individual decision trees and ensembles of various sizes, but none had 10-fold cross validation accuracy better than the baseline accuracy of 55.7%.Back to article page