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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.
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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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In the cross validation ExampleSet there is no loss of data, but the logistic regression model does not show it.

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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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Answers
Dortmund, Germany
Dortmund, Germany
I want to use all of these removed attributes for analysis.