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Binary Classification
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====
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This is the quick start tutorial for xgboost CLI version. You can also checkout [../../doc/README.md](../../doc/README.md) for links to tutorial in python or R.
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Here we demonstrate how to use XGBoost for a binary classification task. Before getting started, make sure you compile xgboost in the root directory of the project by typing ```make```
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The path of the binary classification demo is at [demo/binary_classification](../blob/master/demo/binary_classification), and the script runexp.sh can be used to run the demo. Here we use [mushroom dataset](https://archive.ics.uci.edu/ml/datasets/Mushroom) from UCI machine learning repository.
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The script runexp.sh can be used to run the demo. Here we use [mushroom dataset](https://archive.ics.uci.edu/ml/datasets/Mushroom) from UCI machine learning repository.
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### Tutorial
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#### Generate Input Data
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@ -7,4 +7,4 @@ Make sure you make make xgboost python module in ../../python
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./runexp.sh
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```
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Explainations can be found in [wiki](https://github.com/tqchen/xgboost/wiki)
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