Category: Evaluation Metrics

Evaluation Metrics for Classification 4. Evaluation Metrics for Classification¶ Last week we trained a model for churn. How do we know if it’s good? 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…