Demonstrating how to use XGBoost accomplish regression tasks on computer hardware dataset https://archive.ics.uci.edu/ml/datasets/Computer+Hardware Run: ./runexp.sh Format of input: LIBSVM format Format of ```featmap.txt: <featureid> <featurename> <q or i or int>\n ```: - Feature id must be from 0 to number of features, in sorted order. - i means this feature is binary indicator feature - q means this feature is a quantitative value, such as age, time, can be missing - int means this feature is integer value (when int is hinted, the decision boundary will be integer) Explainations: https://github.com/tqchen/xgboost/wiki/Regression