Predict the white winner in a chess game on the basis of first move of white player and response of black player. In the dataset all the set of moves are given but I choose to predict the white winner the first move.
The dataset is collected from Kaggle https://www.kaggle.com/datasnaek/chess
In the github the analysis file contains the exploratory analysis and some visualization to understand the data visually.
I have used 10 supervised machine learning models to evaluate the prediction and metric AUC score. Among all the models CatBoost model perform better with 78% of AUC score