TennisPrediction 2

Overview

This project proposes a novel approach for tennis modeling by introducing stacking, an ensemble learning technique used to combine information from multiple predictive models to generate a new model, a so called super learner. A historical dataset of 101295 ATP tennis matches played between 2004-2014 is used to train the meta-model. Open-source project by Eric Colon, published on GitHub.

Highlights

• Primary language: Python
• Open source — view the code and contribute on GitHub

Built with

• Python