Coefficient of Logistic Regression Using TPOT

[manbau10]

I built a model using Logistic regression in TPOT classifier. I used model.fitted_pipeline_.steps[-1][1].coef_ to get the coefficients. However, the output returns 23 coefficient values, whereas the features are only 10.

Can someone help on this, please?

[perib]

What does the rest of the pipeline look like? Sometimes transformers, feature unions, or stackingestimators increase the number of features.