This book covers two broad classes of machine learning algorithms: penalized linear regression (for example, Ridge and Lasso) and ensemble methods (for example, Random Forests and Gradient Boosting). Each of these families contains variants that wil

Ensemble-Models

合奏模型

套袋和随机森林作业 计算混淆矩阵，ROC曲线，AUC并理解比值和灵敏度概念 了解通用分类器并创建随机森林和装袋模型以胜过通用分类器 使用tree（）函数创建树，并使用prune（）函数创建修剪来引导多棵树进行聚合