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
｜
187
使用提升曲线可以看出设置不同概率临界值来将记录分类为
1
所产生的结果，它可以作为
一种中间步骤，以确定一个合适的临界值水平。例如，一位税务官员在税务审计方面能花
费的资源有限，所以他想把它们花费在最有可能出现偷税漏税的地方。考虑到这种资源限
制，这个税务官员可以使用一个提升度图估计出一个标准，以确定对哪些完税申报进行审
计，而对其余申报置之不理。
本节要点
•
准确率（分类预测中正确预测的百分比）只是评估模型的第一步。
•
其他指标（召回率、特异度、精确度）关注的是更加具体的性能特征，例如，召回
率测量的是模型能正确识别出
1
的程度。
• AUC
（
ROC
曲线下的面积）是一种常用的度量方式，它衡量的是模型将
1
和
0
区
分开来的能力。
•
类似地，提升度衡量的是模型识别出
1
的有效性，通常是从最有可能的
1
开始，依
次按照
10%
的区间进行计算。
5.4.7
扩展阅读
对模型的评估通常与具体的模型（比如
K
最近邻或决策树）有关。以下三本书专门用一章
对这个主题进行了介绍。
• Ian Whitten
、
Eibe
Frank
和
Mark Hall
合著的《数据挖掘：实用机器学习工具与技术（第
3
版
）》。
• Benjamin Baumer
、
Daniel Kaplan
和
Nicholas Horton
合著的
Modern Data Science with R
。
• Galit Shmueli
、
Peter Bruce
、
Nitin Patel
、
Peter Gedeck
、
Inbal
Yahav
和
Kenneth
Lichtendahl ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
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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.