Demonstrating how to use XGBoost accomplish binary classification tasks on UCI mushroom dataset http://archive.ics.uci.edu/ml/datasets/Mushroom Run: ./runexp.sh Format of input: LIBSVM format Format of featmap.txt: <featureid> <featurename> <q or i>\n q means continuous quantities, i means indicator features. Feature id must be from 0 to num_features, in sorted order. Detailed explaination: https://github.com/tqchen/xgboost/wiki/Binary-Classification