All Questions
10 questions
1
vote
1
answer
174
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Analyzing importance of continuous and categorical variables in linear regression in R
I am using R. I have a data set with a binary (0,1) response and both continuous and categorical predictors. I would like to test the overall importance of these predictors one by one, and I am ...
- 11
2
votes
1
answer
4k
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Logistic Regression on multiple classes (Shouldn't it be only on binary?)
I'm a bit confused with the usage of logistic regression for multi-class classification. My understanding is that a logistic regression is dichotomous (two possible classes), so in the example of the ...
- 135
1
vote
1
answer
2k
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How to improve Recall and Precision?
I am working on a big data set which has 25 features with 237862 number of rows.
I am trying to predict return .
1 is for return and
0 for no return.
My data set has 12% of data which returned. So ...
- 11
0
votes
1
answer
19
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Is this variable suitable for a categorical regression (multinomial logistic regression)?
I have created a dataset starting from a series of multiple choice (3 choices) questions.
...
- 195
3
votes
1
answer
653
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Logistic regression - handling very few observations for a level of a categorical variable
Context
I'm not sure what to do in the scenario where one of the levels for a variable
has so few levels that there's a good chance splitting the data into $70\%$
training $30\%$ testing will result ...
- 936
0
votes
0
answers
62
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Alternatives to logistic regression when dataset can't meet 10 events per predictor variable
I have a dataset with a binary outcome I'd like to model, but have many more parameters than events, probably ~100 categorical parameters to test, in a dataset with 20 events in ~600 observations.
As ...
- 290
4
votes
1
answer
835
views
It is said Logistic regression doesn't deal with categorical features well. Why is it so?
multiple articles on the internet proclaim that logistic regression as a method is not able to deal with categorical independent features well. Unfortunately i was not able to find any explanation for ...
- 43
1
vote
1
answer
1k
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How to choose between including categorical variable as factor or continuous?
I am fitting a regression model for a binary valued outcome as a function of an ordinal exposure taking as many as 21 different levels. Ordinal exposures can be coded continuously or categorically. ...
- 4,129
0
votes
0
answers
3k
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variable error on logistic regression/ proc catmod- Building predictive model
I am using logistic regression to fit a model with categorical/multinomial varaibles.
data-description: There are over 300 variables as independent variables, sample size is 5000 which is divided into ...
- 1
1
vote
1
answer
599
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Logistics regression decision categorical variable makes huge difference in Kaggle-Titanic problem in R
I have this linear model:
...
- 145