Logistic Regression Losing 1 Polynomial attribute consistently
I have two polynomnials data columns, one being an age group that is has 5 attributes (e.g. 16-20, 21-30....) and another polynomial with 4 attributes (Tariff plan 1, 2, 3, 4). When applying the logistic regression model, one attribute does not show in the model. For example I lose Tariff Plan 2 and Age Group 31-40, every time I run the model.
In the cross validation ExampleSet there is no loss of data, but the logistic regression model does not show it.
If I try to change them from polynomial to numerical I see all the attributes in the Logistic Regression, but one shows no analysis. Since it removes collinear columns.
In the cross validation ExampleSet there is no loss of data, but the logistic regression model does not show it.
If I try to change them from polynomial to numerical I see all the attributes in the Logistic Regression, but one shows no analysis. Since it removes collinear columns.
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Altair EmployeeI have tried to use nominal to numerical, but as I stated above, the Logistic Regression Model removes the co-linear columns (Tariff Plan 4 and Age Group 16=20).
Altair EmployeeYes, but I wish to use the removed collinear columns for analysis? Sorry, I'm a noob, but It is removing 1 of each of my nominal to numerical columns such as Complaints = True, Tariff Plan = 4, International Plan = No...
I want to use all of these removed attributes for analysis.
I want to use all of these removed attributes for analysis.