Fig. 5.

Random forest. Dataset after preprocessing is passed to each Decision Tree. Each decision tree is trained on train data and for each test sample prediction from each decision tree is considered. The final decision for each sample is based on Majority voting. The depth of the tree determines the number of SNPs used for classification. SNPs with high idnformation gain on the top