[ML]xgboost理解

Bagging与Boosting的异同：

1、共同点：二者都是由多个分类器构成

2、不同点：bagging的每个分类器都是过拟合的，boosting的每个分类器都是弱分类器，是欠拟合的

参考资料

[1] https://machinelearningmastery.com/gentle-introduction-xgboost-applied-machine-learning/

[2] https://medium.com/@cyeninesky3/xgboost-a-scalable-tree-boosting-system-%E8%AB%96%E6%96%87%E7%AD%86%E8%A8%98%E8%88%87%E5%AF%A6%E4%BD%9C-2b3291e0d1fe

[3] https://www.kdd.org/kdd2016/papers/files/rfp0697-chenAemb.pdf

[4] https://flashgene.com/archives/92167.html

[5] https://www.cnblogs.com/zongfa/p/9324684.html

[6] https://www.jianshu.com/p/7467e616f227