October 2021
Intermediate to advanced
289 pages
8h 31m
Chinese
Content preview from 数据科学中的实用统计学(第2版)
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分类
｜
179
5.3.8
扩展阅读
•
逻辑回归的标准参考书是
David Hosmer
、
Stanley Lemeshow
和
Rodney Sturdivant
合著的
Applied Logistic Regression
第
3
版。
•
还有两本书也非常流行：
Joseph
Hilbe
所著的
Logistic Regression Models
（非常全面）和
Practical Guide to Logistic Regression
（简洁版）。
• Trevor Hastie
、
Robert
Tibshirani
和
Jerome Friedman
的著作《统计学习基础：数据挖
掘、推理与预测（第
2
版）
》，及其篇幅稍短的姊妹篇——
Gareth James
、
Daniela Witten
、
Trevor Hastie
和
Robert
Tibshirani
合著的《统计学习导论：基于
R
应用》。这两本书中都
有一节专门介绍了逻辑回归。
•
在
Galit
Shmueli
、
Peter Bruce
、
Nitin Patel
、
Peter Gedeck
、
Inbal Yahav
和
Kenneth
Lichtendahl
合著的
Data Mining for Business Analytics
（有
R
、
Python
、
Excel
和
JMP
等
多个版本）一书中，有一章专门介绍了逻辑回归方法。
5.4
分类模型评估
在预测性建模中，经常会训练多个不同的模型，并将每个模型应用在一个保留样本上，以
评估它们的性能。有时候，在对多个模型进行评估和调优之后
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.