Guide for Kaggle Higgs Challenge
=====

This is the folder giving example of how to use XGBoost Python Module  to run Kaggle Higgs competition

This script will achieve about 3.600 AMS score in public leadboard. To get start, you need do following step:

1. Compile the XGBoost python lib
```bash
cd ../../python
make
```
2. Put training.csv test.csv on folder './data' (you can create a symbolic link)

3. Run ./run.sh




speedtest.py compares xgboost's speed on this dataset with sklearn.GBM