The fourth week of Machine Learning Zoomcamp is about different metrics to evaluate a binary classifier. These measures include accuracy, confusion table, precision, recall, ROC curves(TPR, FRP, random model, and ideal model), AUROC, and cross-validation.
For this project, we used a Kaggle dataset about churn prediction.
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