Machine Learning Model Stacking in Python

Machine Learning

Find out how stacking can be used to improve model performance

Stacking is a type of ensemble learning wherein multiple layers of models are used for final predictions. More specifically, we predict train set (in CV-like fashion) and test set using some 1st level models, and then use these predictions as features for 2nd level model.

We can do it in python using a library called ‘Vecstack’. The library has been developed by Igor Ivanov and was released …

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