ML Zoomcamp 2023 – Evaluation metrics for classification– Part 4

Precision & Recall Precision and Recall are essential metrics for evaluating binary classification models. Precision measures the fraction of positive predictions that were correct. In other words, it quantifies how accurately the model predicts customers who are likely to churn. Precision = True Positives / (# Positive Predictions) = True Positives / (True Positives +Continue reading “ML Zoomcamp 2023 – Evaluation metrics for classification– Part 4”