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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:

(1)https://arxiv.org/pdf/1706.09516.pdf

(2)http://learningsys.org/nips17/assets/papers/paper_11.pdf

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