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Data prepration for logistic regression : Value either “not available” or a “year”
Logistic Regression implementation does not convergeLogistic regression on biased dataIntuition for Logistic Regression PerformanceUpdate statement for Logistic RegressionSimple logistic regression wrong predictionslogistic regressionThe test of randomness was a logistic regression predicting missingness from all other variablesDealing with NaN (missing) values for Logistic Regression- Best practices?Logistic regression in pythonWhy is logistic regression not sigmoidal?
$begingroup$
I have some data of houses that have been renovated.
In my data there is one column (among others) that captures this information.
It is either "-1" if there has not been yet any renovation, or the information is the year of renovation like "1995" or "2008".
I would like to apply logistic regression.
However, I do not know how to treat this value.
IMHO it looks like a missing value although it is not a missing information.
So, does anybody have an idea how to put these (unordered) values into relation to the ordered years?
On alternative I could think of is binning the information. Like 1990-1995, 1996-2000,...2016-2019.
Any suggestions are highly appreciated.
logistic-regression missing-data
New contributor
$endgroup$
add a comment |
$begingroup$
I have some data of houses that have been renovated.
In my data there is one column (among others) that captures this information.
It is either "-1" if there has not been yet any renovation, or the information is the year of renovation like "1995" or "2008".
I would like to apply logistic regression.
However, I do not know how to treat this value.
IMHO it looks like a missing value although it is not a missing information.
So, does anybody have an idea how to put these (unordered) values into relation to the ordered years?
On alternative I could think of is binning the information. Like 1990-1995, 1996-2000,...2016-2019.
Any suggestions are highly appreciated.
logistic-regression missing-data
New contributor
$endgroup$
add a comment |
$begingroup$
I have some data of houses that have been renovated.
In my data there is one column (among others) that captures this information.
It is either "-1" if there has not been yet any renovation, or the information is the year of renovation like "1995" or "2008".
I would like to apply logistic regression.
However, I do not know how to treat this value.
IMHO it looks like a missing value although it is not a missing information.
So, does anybody have an idea how to put these (unordered) values into relation to the ordered years?
On alternative I could think of is binning the information. Like 1990-1995, 1996-2000,...2016-2019.
Any suggestions are highly appreciated.
logistic-regression missing-data
New contributor
$endgroup$
I have some data of houses that have been renovated.
In my data there is one column (among others) that captures this information.
It is either "-1" if there has not been yet any renovation, or the information is the year of renovation like "1995" or "2008".
I would like to apply logistic regression.
However, I do not know how to treat this value.
IMHO it looks like a missing value although it is not a missing information.
So, does anybody have an idea how to put these (unordered) values into relation to the ordered years?
On alternative I could think of is binning the information. Like 1990-1995, 1996-2000,...2016-2019.
Any suggestions are highly appreciated.
logistic-regression missing-data
logistic-regression missing-data
New contributor
New contributor
New contributor
asked 2 mins ago
toomtoom
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