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Fixes #776 MMA Fight Prediction #777

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merged 2 commits into from
Nov 5, 2024

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Varunshiyam
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Related Issues or bug

The primary challenge is to accurately predict fight outcomes in the highly variable and unpredictable environment of MMA fights. Key problems include:

  • High Variability in Fight Outcomes: MMA outcomes can be highly influenced by unexpected events such as injuries or strategic miscalculations.
  • Data Sparsity: Detailed data for all fighters and fights may not be uniformly available, making it difficult to model consistently.
  • Feature Engineering: Identifying the most predictive features from fight statistics and records is crucial for building a reliable model.
  • Generalization: Ensuring the model performs well across different events, fighters, and fight circumstances.

Fixes: #776

Proposed Changes

This project involves developing a machine learning model for predicting outcomes in MMA fights. Using historical data, it analyzes fighter statistics, fight records, and other relevant features to predict the likelihood of a win for each fighter. The model may use techniques such as logistic regression, decision trees, or ensemble methods to provide fight predictions based on fighter statistics, recent performance, and other MMA-specific metrics.

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vercel bot commented Nov 5, 2024

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github-actions bot commented Nov 5, 2024

👋 Thank you for opening this pull request! We appreciate your contribution to improving this project. Your PR is under review, and we'll get back to you shortly.
Don't forget to mention the issue you solved!.

To help move the process along, please tag @UppuluriKalyani, @Neilblaze, and @SaiNivedh26 for a faster review!

@UppuluriKalyani UppuluriKalyani merged commit 78fcb44 into UppuluriKalyani:main Nov 5, 2024
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github-actions bot commented Nov 5, 2024

🎉🎉 Thank you for your contribution! Your PR #777 has been merged! 🎉🎉

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MMA Fight Prediction Model
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