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SVM-based Adaptive Markov Chain for Tennis Match Prediction: Updatable Probabilities and Momentum Analysis

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Introduction

This is an excellent paper of COMAP's 2024 MCM/ICM contest.

Project Started

  1. Clone PUMC
git clone https://github.com/LZHMS/PUMC.git
  1. Configure the environment of Jupyter Notebook

Project Structure

  • Data Demonstration:
    • The data used in this project is from the website of the 2024 MCM/ICM contest. data folder includes the raw data files and processed indicators, as well as the results(graphD) from SPSS software.
  • Codes Demonstration:
    • The codes of codes.ipynb includes all codes used in this project from the big data processing to model and solve the problems. You can easily run the codes to get the results.
  • Images Demonstration:
    • This folder stores all images our team had done. Considering the size of notebook file and transition efficiency, I cleared all results shall be shown in notebook. Instead, I saved these results under this folder which explained the model and algorithm very well.

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SVM-based Adaptive Markov Chain for Tennis Match Prediction: Updatable Probabilities and Momentum Analysis

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