Additional file 11 of Probabilistic ancestry maps: a method to assess and visualize population substructures in genetics

5-fold cross-validated precision for twenty 1000 Genomes Project populations (19 classes) using SVM, PCA or GTM. Precision of optimized models for the following algorithms: SVM 10 PCs = support vector machine classification model using 10 principal components, PCA 8-NN = k-nearest neighbours model based on 2D PCA map (k = 8), GTM 3 or 10 PCs = bayesian classification model based on generative topographic mapping using 3 or 10 principal components. File name: precision_crossvalidation_19classes.html. (HTML 7 kb)