How to select variables based on the mean correlation in a correlation matrix?
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I have a set of independent variables and I am calculating the correlation matrix between them using the Pearson Correlation Coefficient in Python. A part of the matrix looks like this:
From this matrix, suppose I want to find out the strongly correlated components between the variable NoOfDoors and the rest(Symboling...Compression Ratio). The process I have adopted is that I have taken the mean of that column(which is calculated as 0.039604) and based on that, I have only considered those values greater than 0.039604.
Based on that, the following variables have been selected as strongly correlated:
(Make, Aspiration, Wheel Base, Length, Width, Height, Curb Weight, Engine Type, Bore, Compression Ratio)
I want to ask, is this selection correct? If yes then is there an efficient way to do this? And if no, what is the correct way? Since I am new to this field, a well explained article would be appreciated. Thanks!
python feature-selection correlation
asked 2 mins ago
sumitpal0593sumitpal0593
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I have a set of independent variables and I am calculating the correlation matrix between them using the Pearson Correlation Coefficient in Python. A part of the matrix looks like this:
From this matrix, suppose I want to find out the strongly correlated components between the variable NoOfDoors and the rest(Symboling...Compression Ratio). The process I have adopted is that I have taken the mean of that column(which is calculated as 0.039604) and based on that, I have only considered those values greater than 0.039604.
Based on that, the following variables have been selected as strongly correlated:
(Make, Aspiration, Wheel Base, Length, Width, Height, Curb Weight, Engine Type, Bore, Compression Ratio)
I want to ask, is this selection correct? If yes then is there an efficient way to do this? And if no, what is the correct way? Since I am new to this field, a well explained article would be appreciated. Thanks!
python feature-selection correlation
asked 2 mins ago
sumitpal0593sumitpal0593
11
New contributor
sumitpal0593 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I have a set of independent variables and I am calculating the correlation matrix between them using the Pearson Correlation Coefficient in Python. A part of the matrix looks like this:
From this matrix, suppose I want to find out the strongly correlated components between the variable NoOfDoors and the rest(Symboling...Compression Ratio). The process I have adopted is that I have taken the mean of that column(which is calculated as 0.039604) and based on that, I have only considered those values greater than 0.039604.
Based on that, the following variables have been selected as strongly correlated:
(Make, Aspiration, Wheel Base, Length, Width, Height, Curb Weight, Engine Type, Bore, Compression Ratio)
I want to ask, is this selection correct? If yes then is there an efficient way to do this? And if no, what is the correct way? Since I am new to this field, a well explained article would be appreciated. Thanks!
python feature-selection correlation
asked 2 mins ago
sumitpal0593sumitpal0593
11
New contributor
sumitpal0593 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I have a set of independent variables and I am calculating the correlation matrix between them using the Pearson Correlation Coefficient in Python. A part of the matrix looks like this:
From this matrix, suppose I want to find out the strongly correlated components between the variable NoOfDoors and the rest(Symboling...Compression Ratio). The process I have adopted is that I have taken the mean of that column(which is calculated as 0.039604) and based on that, I have only considered those values greater than 0.039604.
Based on that, the following variables have been selected as strongly correlated:
(Make, Aspiration, Wheel Base, Length, Width, Height, Curb Weight, Engine Type, Bore, Compression Ratio)
I want to ask, is this selection correct? If yes then is there an efficient way to do this? And if no, what is the correct way? Since I am new to this field, a well explained article would be appreciated. Thanks!
python feature-selection correlation
python feature-selection correlation
asked 2 mins ago
sumitpal0593sumitpal0593
11
New contributor
sumitpal0593 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 mins ago
sumitpal0593sumitpal0593
11
New contributor
sumitpal0593 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 mins ago
sumitpal0593sumitpal0593
11
New contributor
sumitpal0593 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 mins ago
sumitpal0593sumitpal0593
11
asked 2 mins ago
sumitpal0593sumitpal0593
11
11
New contributor
sumitpal0593 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
sumitpal0593 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
sumitpal0593 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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