IEEE Fraud Detection with XGBoost and CatBoost
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Updated
Jan 10, 2021 - Jupyter Notebook
IEEE Fraud Detection with XGBoost and CatBoost
This notebook (in Python) used eXtreme Gradient Boosting (XGBoost) to predict for good or bad road pavement condition in Ontario. I also performed random search hyperparameter optimization, k-folds stratified cross-validation, and tested what features could be removed from the model without sacrificing its balanced accuracy.
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