Interview Question: How to decrease size of a model?


If you have a logistic regression model and the size is the model is too big. What would you do to decrease the size of the model?

Please note that you are free to retrain the model from scratch.

[This is an interview question. Please feel free to post your answer below.]


Dimensionality reduction any method we use like backward elimination or we can check and find correlated features we can apply PCA ?


The PCA model will require decent space. So, with PCA, the size of the model will actually increase.