Evaluating XGBoost for balanced and Imbalanced datasets
The talk will introduce XGBoost, and provide examples of evaluation metrics for ML models in fraud and risk-scoring applications.
An introduction to XGBoost and how to evaluate it on balanced and imbalanced datasets, with examples of evaluation metrics for machine learning models used in fraud detection and risk-scoring applications.
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