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