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Found 4 papers, 2 papers with code
Hybrid Machine Learning Forecasts for the UEFA EURO 2020
Based on the resulting estimates, the tournament is simulated repeatedly and winning probabilities are obtained for all teams.
Deducing neighborhoods of classes from a fitted model
The growing field of \emph{interpretable machine learning} tries to make up for the lack of interpretability in these complex (or even blackbox-)models by using specific techniques that can help to understand those models better.
Hybrid Machine Learning Forecasts for the FIFA Women's World Cup 2019
Finally, based on the resulting estimates, the FIFA Women's World Cup 2019 is simulated repeatedly and winning probabilities are obtained for all teams.
Prediction of the FIFA World Cup 2018 - A random forest approach with an emphasis on estimated team ability parameters
In this work, we compare three different modeling approaches for the scores of soccer matches with regard to their predictive performances based on all matches from the four previous FIFA World Cups 2002 - 2014: Poisson regression models, random forests and ranking methods.
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