This project forked from xiadanqing/binary
科大讯飞移动广告反欺诈算法挑战赛----baseline
科大讯飞移动广告反欺诈算法挑战赛----baseline
第一版：通过简单的黑名单来判断是否作弊，提交后得分为：57.2分
第二版：通过catboost(使用0.15版本的catboost，不支持0.12版本)做个简单的二分类来判断是否作弊，提交后得分为：94.33074
GBDT模型相关参考资料整理：
1、GBDT、xgboost对比分析：
https://wenku.baidu.com/view/f3da60b4951ea76e58fafab069dc5022aaea463e.html
2、xgboost论文：
https://arxiv.org/pdf/1603.02754.pdf
3、lightgbm论文:
http://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision-tree.pdf
4、catboost论文：
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