what's the difference between multinomial logistic regression and traditional regression?
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Could anyone please explain to me what is the difference between multinomial logistic regression and traditional regression?
I have used a method called elastic-net as the response variables are in discrete format, but I am confused if this method is suitable or not or should I be using a multinomial logistic regression instead?
I appreciated any help!
regression logistic multinomial elastic-net
edited Aug 11 at 15:09
Karolis KonceviÄÂius
1,60221325
asked Aug 11 at 13:36
F.caren
436
add a comment |Â
up vote
2
down vote
favorite
Could anyone please explain to me what is the difference between multinomial logistic regression and traditional regression?
I have used a method called elastic-net as the response variables are in discrete format, but I am confused if this method is suitable or not or should I be using a multinomial logistic regression instead?
I appreciated any help!
regression logistic multinomial elastic-net
edited Aug 11 at 15:09
Karolis KonceviÄÂius
1,60221325
asked Aug 11 at 13:36
F.caren
436
add a comment |Â
up vote
2
down vote
favorite
up vote
2
down vote
favorite
Could anyone please explain to me what is the difference between multinomial logistic regression and traditional regression?
I have used a method called elastic-net as the response variables are in discrete format, but I am confused if this method is suitable or not or should I be using a multinomial logistic regression instead?
I appreciated any help!
regression logistic multinomial elastic-net
edited Aug 11 at 15:09
Karolis KonceviÄÂius
1,60221325
asked Aug 11 at 13:36
F.caren
436
Could anyone please explain to me what is the difference between multinomial logistic regression and traditional regression?
I have used a method called elastic-net as the response variables are in discrete format, but I am confused if this method is suitable or not or should I be using a multinomial logistic regression instead?
I appreciated any help!
regression logistic multinomial elastic-net
regression logistic multinomial elastic-net
edited Aug 11 at 15:09
Karolis KonceviÄÂius
1,60221325
asked Aug 11 at 13:36
F.caren
436
edited Aug 11 at 15:09
Karolis KonceviÄÂius
1,60221325
asked Aug 11 at 13:36
F.caren
436
edited Aug 11 at 15:09
Karolis KonceviÄÂius
1,60221325
edited Aug 11 at 15:09
Karolis KonceviÄÂius
1,60221325
edited Aug 11 at 15:09
Karolis KonceviÄÂius
1,60221325
1,60221325
asked Aug 11 at 13:36
F.caren
436
asked Aug 11 at 13:36
F.caren
436
asked Aug 11 at 13:36
F.caren
436
436
add a comment |Â
add a comment |Â
1 Answer
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votes
up vote
4
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Multinomial logistic regression is used when the dependent variable is categorical with more than two levels but no order.
Linear regression is used when the dependent variable is continuous (or, at least, reasonably close to continuous).
Elastic net is a method of regularization. It can be used in both linear and logistic regression.
answered Aug 11 at 13:53
Peter Flom♦
72k11103195
1
+1 Succinct response to a broad question. For more information on each of the topics described above, I would recommend reading the sections on linear regression, multinomial logistic regression, and regularization in Introduction to Statistical Learning by James, Witten, Hastie, & Tibshirani www-bcf.usc.edu/~gareth/ISL/ISLR%20Seventh%20Printing.pdf
– Mark White
Aug 11 at 15:11
@MarkWhite Yeah, one could write a book on this (and some people have!)
– Peter Flom♦
Aug 11 at 15:20
@Peter Flom Thanks for your useful response
– F.caren
Aug 12 at 10:04
@Peter Flom, I want to know how to be sure that the elastic net is suitable in both linear and logistic regression. I need a specific answer plz.appreciated your help!
– F.caren
Aug 12 at 10:05
You can check e.g. Wikipedia and the references therein. Or search for elastic net here on Cross Validated.
– Peter Flom♦
Aug 12 at 10:20
add a comment |Â
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
4
down vote
Multinomial logistic regression is used when the dependent variable is categorical with more than two levels but no order.
Linear regression is used when the dependent variable is continuous (or, at least, reasonably close to continuous).
Elastic net is a method of regularization. It can be used in both linear and logistic regression.
answered Aug 11 at 13:53
Peter Flom♦
72k11103195
1
+1 Succinct response to a broad question. For more information on each of the topics described above, I would recommend reading the sections on linear regression, multinomial logistic regression, and regularization in Introduction to Statistical Learning by James, Witten, Hastie, & Tibshirani www-bcf.usc.edu/~gareth/ISL/ISLR%20Seventh%20Printing.pdf
– Mark White
Aug 11 at 15:11
@MarkWhite Yeah, one could write a book on this (and some people have!)
– Peter Flom♦
Aug 11 at 15:20
@Peter Flom Thanks for your useful response
– F.caren
Aug 12 at 10:04
@Peter Flom, I want to know how to be sure that the elastic net is suitable in both linear and logistic regression. I need a specific answer plz.appreciated your help!
– F.caren
Aug 12 at 10:05
You can check e.g. Wikipedia and the references therein. Or search for elastic net here on Cross Validated.
– Peter Flom♦
Aug 12 at 10:20
add a comment |Â
up vote
4
down vote
Multinomial logistic regression is used when the dependent variable is categorical with more than two levels but no order.
Linear regression is used when the dependent variable is continuous (or, at least, reasonably close to continuous).
Elastic net is a method of regularization. It can be used in both linear and logistic regression.
answered Aug 11 at 13:53
Peter Flom♦
72k11103195
1
+1 Succinct response to a broad question. For more information on each of the topics described above, I would recommend reading the sections on linear regression, multinomial logistic regression, and regularization in Introduction to Statistical Learning by James, Witten, Hastie, & Tibshirani www-bcf.usc.edu/~gareth/ISL/ISLR%20Seventh%20Printing.pdf
– Mark White
Aug 11 at 15:11
@MarkWhite Yeah, one could write a book on this (and some people have!)
– Peter Flom♦
Aug 11 at 15:20
@Peter Flom Thanks for your useful response
– F.caren
Aug 12 at 10:04
@Peter Flom, I want to know how to be sure that the elastic net is suitable in both linear and logistic regression. I need a specific answer plz.appreciated your help!
– F.caren
Aug 12 at 10:05
You can check e.g. Wikipedia and the references therein. Or search for elastic net here on Cross Validated.
– Peter Flom♦
Aug 12 at 10:20
add a comment |Â
up vote
4
down vote
up vote
4
down vote
Multinomial logistic regression is used when the dependent variable is categorical with more than two levels but no order.
Linear regression is used when the dependent variable is continuous (or, at least, reasonably close to continuous).
Elastic net is a method of regularization. It can be used in both linear and logistic regression.
answered Aug 11 at 13:53
Peter Flom♦
72k11103195
Multinomial logistic regression is used when the dependent variable is categorical with more than two levels but no order.
Linear regression is used when the dependent variable is continuous (or, at least, reasonably close to continuous).
Elastic net is a method of regularization. It can be used in both linear and logistic regression.
answered Aug 11 at 13:53
Peter Flom♦
72k11103195
answered Aug 11 at 13:53
Peter Flom♦
72k11103195
answered Aug 11 at 13:53
Peter Flom♦
72k11103195
answered Aug 11 at 13:53
Peter Flom♦
72k11103195
72k11103195
1
+1 Succinct response to a broad question. For more information on each of the topics described above, I would recommend reading the sections on linear regression, multinomial logistic regression, and regularization in Introduction to Statistical Learning by James, Witten, Hastie, & Tibshirani www-bcf.usc.edu/~gareth/ISL/ISLR%20Seventh%20Printing.pdf
– Mark White
Aug 11 at 15:11
@MarkWhite Yeah, one could write a book on this (and some people have!)
– Peter Flom♦
Aug 11 at 15:20
@Peter Flom Thanks for your useful response
– F.caren
Aug 12 at 10:04
@Peter Flom, I want to know how to be sure that the elastic net is suitable in both linear and logistic regression. I need a specific answer plz.appreciated your help!
– F.caren
Aug 12 at 10:05
You can check e.g. Wikipedia and the references therein. Or search for elastic net here on Cross Validated.
– Peter Flom♦
Aug 12 at 10:20
add a comment |Â
1
+1 Succinct response to a broad question. For more information on each of the topics described above, I would recommend reading the sections on linear regression, multinomial logistic regression, and regularization in Introduction to Statistical Learning by James, Witten, Hastie, & Tibshirani www-bcf.usc.edu/~gareth/ISL/ISLR%20Seventh%20Printing.pdf
– Mark White
Aug 11 at 15:11
@MarkWhite Yeah, one could write a book on this (and some people have!)
– Peter Flom♦
Aug 11 at 15:20
@Peter Flom Thanks for your useful response
– F.caren
Aug 12 at 10:04
@Peter Flom, I want to know how to be sure that the elastic net is suitable in both linear and logistic regression. I need a specific answer plz.appreciated your help!
– F.caren
Aug 12 at 10:05
You can check e.g. Wikipedia and the references therein. Or search for elastic net here on Cross Validated.
– Peter Flom♦
Aug 12 at 10:20
1
1
+1 Succinct response to a broad question. For more information on each of the topics described above, I would recommend reading the sections on linear regression, multinomial logistic regression, and regularization in Introduction to Statistical Learning by James, Witten, Hastie, & Tibshirani www-bcf.usc.edu/~gareth/ISL/ISLR%20Seventh%20Printing.pdf
– Mark White
Aug 11 at 15:11
+1 Succinct response to a broad question. For more information on each of the topics described above, I would recommend reading the sections on linear regression, multinomial logistic regression, and regularization in Introduction to Statistical Learning by James, Witten, Hastie, & Tibshirani www-bcf.usc.edu/~gareth/ISL/ISLR%20Seventh%20Printing.pdf
– Mark White
Aug 11 at 15:11
@MarkWhite Yeah, one could write a book on this (and some people have!)
– Peter Flom♦
Aug 11 at 15:20
@MarkWhite Yeah, one could write a book on this (and some people have!)
– Peter Flom♦
Aug 11 at 15:20
@Peter Flom Thanks for your useful response
– F.caren
Aug 12 at 10:04
@Peter Flom Thanks for your useful response
– F.caren
Aug 12 at 10:04
@Peter Flom, I want to know how to be sure that the elastic net is suitable in both linear and logistic regression. I need a specific answer plz.appreciated your help!
– F.caren
Aug 12 at 10:05
@Peter Flom, I want to know how to be sure that the elastic net is suitable in both linear and logistic regression. I need a specific answer plz.appreciated your help!
– F.caren
Aug 12 at 10:05
You can check e.g. Wikipedia and the references therein. Or search for elastic net here on Cross Validated.
– Peter Flom♦
Aug 12 at 10:20
You can check e.g. Wikipedia and the references therein. Or search for elastic net here on Cross Validated.
– Peter Flom♦
Aug 12 at 10:20
add a comment |Â
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