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using linear regression and random forest regressor to predict the rating of board games the data consists of more than 60000 user ratings of board games. The error is reduced by 30% by using a nonlinear regressor
harshitherobotist/Board-Game-Review-Prediction
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using linear regression and random forest regressor to predict the rating of board games the data consists of more than 60000 user ratings of board games. The error is reduced by 30% by using a nonlinear regressor
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