Skip to content
#

stacking-ensemble-model

Here are 3 public repositories matching this topic...

⚾ MLB win prediction using an era-adjusted stacking ensemble. Achieved a Private MAE of 2.93 on Kaggle. Features include domain-driven engineering (Pythagorean expectation, run differential, WHIP), automated feature selection (RFE, Lasso), TimeSeriesSplit validation, and a Ridge meta-learner. 🚀

  • Updated Apr 19, 2026
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the stacking-ensemble-model topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the stacking-ensemble-model topic, visit your repo's landing page and select "manage topics."

Learn more