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This is the folder giving example of how to use XGBoost to run Kaggle Higgs competition
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Guide for Kaggle Higgs Challenge
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=====
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to run the script, put training.csv test.csv on folder './data' (you can create a symbolic link)
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This is the folder giving example of how to use XGBoost Python Module to run Kaggle Higgs competition
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This script will achieve about 3.600 AMS score in public leadboard. To get start, you need do following step:
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1. Compile the XGBoost python lib
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```bash
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cd ../../python
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make
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```
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2. Put training.csv test.csv on folder './data' (you can create a symbolic link)
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3. Run ./run.sh
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run ./run.sh
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you need to compile xgboost python model in ../../python
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