reception 发表于 2025-3-26 23:37:51
Classification and Regression Trees (CART),Regression Trees (CART) is emphasized. Tree structures are less important as stand-alone data analysis procedures than in the past. But they are essential components of many very effective statistical learning procedures discussed in later chapters. They also raise important conceptual and technical修饰 发表于 2025-3-27 04:59:10
http://reply.papertrans.cn/88/8765/876465/876465_32.png无能的人 发表于 2025-3-27 05:23:53
Boosting,ore flexible. A much wider range of response variables types are can be used, all within the same basic algorithmic structure. Just as for random forests, there are several useful ways to study the output, and excellent software exists within R.注意到 发表于 2025-3-27 12:39:20
http://reply.papertrans.cn/88/8765/876465/876465_34.pngCircumscribe 发表于 2025-3-27 13:47:48
http://reply.papertrans.cn/88/8765/876465/876465_35.pngcapsule 发表于 2025-3-27 18:30:33
Textbook 20162nd editionof predictors, and when it is important to characterize how the predictors are related to the response. .This fully revised new edition includes important developments over the past 8 years. Consistent with modern data analytics, it emphasizes that a proper statistical learning data analysis derivesmydriatic 发表于 2025-3-28 01:00:37
http://reply.papertrans.cn/88/8765/876465/876465_37.png保存 发表于 2025-3-28 06:10:27
http://reply.papertrans.cn/88/8765/876465/876465_38.pngconceal 发表于 2025-3-28 06:47:35
http://reply.papertrans.cn/88/8765/876465/876465_39.pngsubordinate 发表于 2025-3-28 13:36:49
http://reply.papertrans.cn/88/8765/876465/876465_40.png