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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.

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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## Answers

3,520RM Data ScientistDortmund, Germany

3Newbie3,520RM Data ScientistDortmund, Germany

3NewbieI want to use all of these removed attributes for analysis.