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This paper first writes the demo of the multi classification problem supported by xgboost, prints the tree structure, and then understands the principle of xgboost to realize the multi classification problem. This order is easier to understand. xgboost multi classification problem demo This demo can be seen from the source code of xgboost. In ...

Content of this article introduceAdaBoostGradient BoostXGBoostHistogram-Based Gradient BoostLightBoostCatBoostsummary introduce In ensemble learning, the goal is to train the model most successfully with a variety of learning algorithms. Bagging method is an integrated learning method, which applies multiple models to different sub samples o ...