Using 10,000 chess games and 8,40,289 board positions, machine learning techniques like multi-variate Linear Regression and Naive Bayes classification are implemented to predict game outcomes as well as develop relationships between different parameters of game-play.
python machine-learning r chess linear-regression machine-learning-algorithms prediction statistical-analysis naive-bayes-classifier scidb prediction-algorithm prediction-model scid scid-vs-pc chess-database autoit3-script
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Updated
Apr 29, 2017 - Python