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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172
｜
第
5
章
purpose_major_purchase purpose_medical
0.22963 0.51048
purpose_other purpose_small_business
0.62066 1.21526
home_OWN home_RENT
0.04833 0.15732
emp_len_ > 1 Year borrower_score
-0.35673 -4.61264
Degrees of Freedom: 45341 Total (i.e. Null); 45330 Residual
Null Deviance: 62860
Residual Deviance: 57510 AIC: 57540
响应变量是
outcome
，为
0
时表示贷款已还清，为
1
时表示贷款违约。
purpose_
和
home_
是因子变量，分别表示贷款目的和房屋所有权状态。和线性回归一样，有
P
个水平的因
子变量用
P
–1
个列表示
。在
R
中，默认使用
参照
编码，其他水平都是与参照水平进行比
较的（参见
4.4
节）
。这两个因子变量的参照水平分别是
credit_card
和
MORTGAGE
。变量
borrower_score
是一个介于
0
和
1
之间的分数，表示借款者的信誉评级（从糟糕到极好）。
这个变量是使用
K
最近邻方法根据其他几个变量创建出来的，参见
6.1.6
节。
在
Python
中
，可以使用
scikit-learn
中的
LogisticRegression
类，它属于
sklearn.
linear_model
模块。参数 ...
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