https://github.com/aggstam/patternrecognition

MATLAB scripts predicting match results using Machine Learning, based on attributes provided in European Soccer Database.
https://github.com/aggstam/patternrecognition

kmeans machine-learning matlab neural-network pattern-recognition

Last synced: 7 months ago
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MATLAB scripts predicting match results using Machine Learning, based on attributes provided in European Soccer Database.

• Host: GitHub
• URL: https://github.com/aggstam/patternrecognition
• Owner: aggstam
• License: apache-2.0
• Created: 2021-11-03T19:30:15.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2023-01-31T17:22:33.000Z (over 2 years ago)
• Last Synced: 2025-01-12T20:33:33.068Z (9 months ago)
• Topics: kmeans, machine-learning, matlab, neural-network, pattern-recognition
• Language: MATLAB
• Homepage:
• Size: 31.3 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# PatternRecognition

These MATLAB scripts predict match results using Machine Learning, based on attributes provided in European Soccer Database [1].




Scripts folders:

- I: simple neural network using data of each company.

- II: multilayer neural network using data of each company.

- III: multilayer neural network using data of all companies.

- IV: KMeans using data of each company.

For each classifier, K-Fold validation has been implemented to measure accuracy statistics.




SQLite file should be extracted in root folder, so all scripts can access it.

## References

[1] https://www.kaggle.com/hugomathien/soccer