relation in between a categorical dependent variable and combination of independent variables
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I am looking for a technique which could help us find the relation in between a categorical dependent variable and combination of independent variables (Y ~ X1*X2+X2*X3+X3*X4), here among X1 to X4 we have few categorical columns and few continuous columns.
I am working on a classification problem and I want to check what combination of independent columns are highly related to dependent columns.
python machine-learning statistics analysis
edited Nov 8 at 10:26
blue-phoenox
2,74971435
asked Nov 8 at 9:18
Chaitanya Sai
44
add a comment |
up vote
-1
down vote
favorite
I am looking for a technique which could help us find the relation in between a categorical dependent variable and combination of independent variables (Y ~ X1*X2+X2*X3+X3*X4), here among X1 to X4 we have few categorical columns and few continuous columns.
I am working on a classification problem and I want to check what combination of independent columns are highly related to dependent columns.
python machine-learning statistics analysis
edited Nov 8 at 10:26
blue-phoenox
2,74971435
asked Nov 8 at 9:18
Chaitanya Sai
44
add a comment |
up vote
-1
down vote
favorite
up vote
-1
down vote
favorite
I am looking for a technique which could help us find the relation in between a categorical dependent variable and combination of independent variables (Y ~ X1*X2+X2*X3+X3*X4), here among X1 to X4 we have few categorical columns and few continuous columns.
I am working on a classification problem and I want to check what combination of independent columns are highly related to dependent columns.
python machine-learning statistics analysis
edited Nov 8 at 10:26
blue-phoenox
2,74971435
asked Nov 8 at 9:18
Chaitanya Sai
44
I am looking for a technique which could help us find the relation in between a categorical dependent variable and combination of independent variables (Y ~ X1*X2+X2*X3+X3*X4), here among X1 to X4 we have few categorical columns and few continuous columns.
I am working on a classification problem and I want to check what combination of independent columns are highly related to dependent columns.
python machine-learning statistics analysis
python machine-learning statistics analysis
edited Nov 8 at 10:26
blue-phoenox
2,74971435
asked Nov 8 at 9:18
Chaitanya Sai
44
edited Nov 8 at 10:26
blue-phoenox
2,74971435
asked Nov 8 at 9:18
Chaitanya Sai
44
edited Nov 8 at 10:26
blue-phoenox
2,74971435
edited Nov 8 at 10:26
blue-phoenox
2,74971435
edited Nov 8 at 10:26
blue-phoenox
2,74971435
2,74971435
asked Nov 8 at 9:18
Chaitanya Sai
44
asked Nov 8 at 9:18
Chaitanya Sai
44
asked Nov 8 at 9:18
Chaitanya Sai
44
44
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
up vote
0
down vote
I am not sure if I correctly understand your question, but from what I understand:
You can try to convert your continuous columns to buckets, which means effectively converting them as categorical as well and then find correlation between them.
answered Nov 8 at 9:58
power.puffed
115
Thanks for the quick response, I understood what you've suggested but unfortunately I cannot implement that since I have columns like "Interest rate" where I don't want to group them since the values are very near by. However let's say even though I group few of them, are there any techniques which could say the relation between a categorical dependent variable and combination of two independent variables??
– Chaitanya Sai
Nov 8 at 10:26
@ChaitanyaSai well it looks like it is a fundamental problem that we try to solve using all machine learning algorithms. For instance, logistic regression gives relationship between one dependent discrete variable and one or more nominal, ordinal ,interval or ratio-level independent variables
– power.puffed
Nov 8 at 13:13
I have tried using Logistic Regression and found very few significant combinations based on P-value, am looking for some alternatives ways which can be useful in such scenarios so that I can give those combinations to model which I get through the once I got through Logistic regression and through some other alternative ways. So, I would like to know few alternatives. Thanks
– Chaitanya Sai
Nov 9 at 4:54
add a comment |
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
I am not sure if I correctly understand your question, but from what I understand:
You can try to convert your continuous columns to buckets, which means effectively converting them as categorical as well and then find correlation between them.
answered Nov 8 at 9:58
power.puffed
115
Thanks for the quick response, I understood what you've suggested but unfortunately I cannot implement that since I have columns like "Interest rate" where I don't want to group them since the values are very near by. However let's say even though I group few of them, are there any techniques which could say the relation between a categorical dependent variable and combination of two independent variables??
– Chaitanya Sai
Nov 8 at 10:26
@ChaitanyaSai well it looks like it is a fundamental problem that we try to solve using all machine learning algorithms. For instance, logistic regression gives relationship between one dependent discrete variable and one or more nominal, ordinal ,interval or ratio-level independent variables
– power.puffed
Nov 8 at 13:13
I have tried using Logistic Regression and found very few significant combinations based on P-value, am looking for some alternatives ways which can be useful in such scenarios so that I can give those combinations to model which I get through the once I got through Logistic regression and through some other alternative ways. So, I would like to know few alternatives. Thanks
– Chaitanya Sai
Nov 9 at 4:54
add a comment |
up vote
0
down vote
I am not sure if I correctly understand your question, but from what I understand:
You can try to convert your continuous columns to buckets, which means effectively converting them as categorical as well and then find correlation between them.
answered Nov 8 at 9:58
power.puffed
115
Thanks for the quick response, I understood what you've suggested but unfortunately I cannot implement that since I have columns like "Interest rate" where I don't want to group them since the values are very near by. However let's say even though I group few of them, are there any techniques which could say the relation between a categorical dependent variable and combination of two independent variables??
– Chaitanya Sai
Nov 8 at 10:26
@ChaitanyaSai well it looks like it is a fundamental problem that we try to solve using all machine learning algorithms. For instance, logistic regression gives relationship between one dependent discrete variable and one or more nominal, ordinal ,interval or ratio-level independent variables
– power.puffed
Nov 8 at 13:13
I have tried using Logistic Regression and found very few significant combinations based on P-value, am looking for some alternatives ways which can be useful in such scenarios so that I can give those combinations to model which I get through the once I got through Logistic regression and through some other alternative ways. So, I would like to know few alternatives. Thanks
– Chaitanya Sai
Nov 9 at 4:54
add a comment |
up vote
0
down vote
up vote
0
down vote
I am not sure if I correctly understand your question, but from what I understand:
You can try to convert your continuous columns to buckets, which means effectively converting them as categorical as well and then find correlation between them.
answered Nov 8 at 9:58
power.puffed
115
I am not sure if I correctly understand your question, but from what I understand:
You can try to convert your continuous columns to buckets, which means effectively converting them as categorical as well and then find correlation between them.
answered Nov 8 at 9:58
power.puffed
115
answered Nov 8 at 9:58
power.puffed
115
answered Nov 8 at 9:58
power.puffed
115
answered Nov 8 at 9:58
power.puffed
115
115
Thanks for the quick response, I understood what you've suggested but unfortunately I cannot implement that since I have columns like "Interest rate" where I don't want to group them since the values are very near by. However let's say even though I group few of them, are there any techniques which could say the relation between a categorical dependent variable and combination of two independent variables??
– Chaitanya Sai
Nov 8 at 10:26
@ChaitanyaSai well it looks like it is a fundamental problem that we try to solve using all machine learning algorithms. For instance, logistic regression gives relationship between one dependent discrete variable and one or more nominal, ordinal ,interval or ratio-level independent variables
– power.puffed
Nov 8 at 13:13
I have tried using Logistic Regression and found very few significant combinations based on P-value, am looking for some alternatives ways which can be useful in such scenarios so that I can give those combinations to model which I get through the once I got through Logistic regression and through some other alternative ways. So, I would like to know few alternatives. Thanks
– Chaitanya Sai
Nov 9 at 4:54
add a comment |
Thanks for the quick response, I understood what you've suggested but unfortunately I cannot implement that since I have columns like "Interest rate" where I don't want to group them since the values are very near by. However let's say even though I group few of them, are there any techniques which could say the relation between a categorical dependent variable and combination of two independent variables??
– Chaitanya Sai
Nov 8 at 10:26
@ChaitanyaSai well it looks like it is a fundamental problem that we try to solve using all machine learning algorithms. For instance, logistic regression gives relationship between one dependent discrete variable and one or more nominal, ordinal ,interval or ratio-level independent variables
– power.puffed
Nov 8 at 13:13
I have tried using Logistic Regression and found very few significant combinations based on P-value, am looking for some alternatives ways which can be useful in such scenarios so that I can give those combinations to model which I get through the once I got through Logistic regression and through some other alternative ways. So, I would like to know few alternatives. Thanks
– Chaitanya Sai
Nov 9 at 4:54
Thanks for the quick response, I understood what you've suggested but unfortunately I cannot implement that since I have columns like "Interest rate" where I don't want to group them since the values are very near by. However let's say even though I group few of them, are there any techniques which could say the relation between a categorical dependent variable and combination of two independent variables??
– Chaitanya Sai
Nov 8 at 10:26
Thanks for the quick response, I understood what you've suggested but unfortunately I cannot implement that since I have columns like "Interest rate" where I don't want to group them since the values are very near by. However let's say even though I group few of them, are there any techniques which could say the relation between a categorical dependent variable and combination of two independent variables??
– Chaitanya Sai
Nov 8 at 10:26
@ChaitanyaSai well it looks like it is a fundamental problem that we try to solve using all machine learning algorithms. For instance, logistic regression gives relationship between one dependent discrete variable and one or more nominal, ordinal ,interval or ratio-level independent variables
– power.puffed
Nov 8 at 13:13
@ChaitanyaSai well it looks like it is a fundamental problem that we try to solve using all machine learning algorithms. For instance, logistic regression gives relationship between one dependent discrete variable and one or more nominal, ordinal ,interval or ratio-level independent variables
– power.puffed
Nov 8 at 13:13
I have tried using Logistic Regression and found very few significant combinations based on P-value, am looking for some alternatives ways which can be useful in such scenarios so that I can give those combinations to model which I get through the once I got through Logistic regression and through some other alternative ways. So, I would like to know few alternatives. Thanks
– Chaitanya Sai
Nov 9 at 4:54
I have tried using Logistic Regression and found very few significant combinations based on P-value, am looking for some alternatives ways which can be useful in such scenarios so that I can give those combinations to model which I get through the once I got through Logistic regression and through some other alternative ways. So, I would like to know few alternatives. Thanks
– Chaitanya Sai
Nov 9 at 4:54
add a comment |
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