Preface
This article is the final chapter of the entire Boost (boost method) integrated algorithm model. The previous articles have been explained in turn with detailed project casesAdaBoost, GBDT, XGBoost, LighGBMThere are four commonly used integrated algorithm models. Each article contains practical projects and runnable code. It is difficult to master the ensemble algorithm model by just reading the article once without practicing it. Many of the ideas and methods of optimizing parameters require long-term use to master. The ensemble learning method is widely used in major machine learning and data mining competitions around the world. , its concepts and ideas are also popular in academia and industry, so friends who have this need recommend reading it carefully and practicing it.
We have previously described the AdaBoost algorithm model and GBDT principles and practices in detail. through this