• I'm submitting a ...
  [/] example

• Summary
  Stacked Generalization or stacking is an ensemble algorithm where a new model is trained to combine the predictions from two or more models already trained or your dataset.

This ticket aims to implement an example of stacking using the existing models.

• References

• https://machinelearningmastery.com/implementing-stacking-scratch-python/
• https://www.kaggle.com/serigne/stacked-regressions-top-4-on-leaderboard

There are quite a lot of examples of stacking on Kaggle, feel free to look up any one of those examples/references.