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Predicting the results of the 2018 FIFA World Cup using Machine Learning

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WorldCup-Prediction

Predicting the 2018 FIFA World Cup results with Artificial Intelligence

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Accuracy Score / Result

Model 10-fold CV Accuracy Score (%)
K-Nearest Neighbors 38.99
Support Vector Machines 40.87
Random Forest 75.70
Extra-Trees 71.61
Gradient Boosting Machines 73.50
ADA boost (tree) 68.25
Neural Network 40.87
XGBoost 78.53

Maintainers:

  • Victor Velev
  • Georgi Korchakov
  • Kris Yochev

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Predicting the results of the 2018 FIFA World Cup using Machine Learning

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  • Jupyter Notebook 41.4%
  • CSS 39.1%
  • HTML 8.1%
  • Python 6.8%
  • JavaScript 4.6%