s**********l
发帖数: 395 | 1 If I want to build a logistic regression model using tens of predictors, but
one of the predictor has more than 50 % of missing values. How should I
deal with this predictor? Thanks. |
D******n
发帖数: 2836 | 2 create dummy variable.
but
【在 s**********l 的大作中提到】
: If I want to build a logistic regression model using tens of predictors, but
: one of the predictor has more than 50 % of missing values. How should I
: deal with this predictor? Thanks.
|
s**********l
发帖数: 395 | 3 You means creating a dummy variable A, if the predictor's value is missing
then set A=0, else set A=1?
If the input variable which has many missing values is continuous variable,
is it still OK to use dummy variable?
Thanks. |
D******n
发帖数: 2836 | 4 yesi, and make it zero or sth when it is missing, in addition to creating
the dummy variable.
,
【在 s**********l 的大作中提到】
: You means creating a dummy variable A, if the predictor's value is missing
: then set A=0, else set A=1?
: If the input variable which has many missing values is continuous variable,
: is it still OK to use dummy variable?
: Thanks.
|
s**********l
发帖数: 395 | 5 Dashagen,
I see.Thanks for your help. |
s*********e
发帖数: 1051 | 6 different industry has different practice, including the one mentioned above.
but
【在 s**********l 的大作中提到】
: If I want to build a logistic regression model using tens of predictors, but
: one of the predictor has more than 50 % of missing values. How should I
: deal with this predictor? Thanks.
|
