Answer Posted / Mamta Rani

A Logistic Regression Model can be evaluated using metrics like:
- Accuracy (ratio of correct predictions to the total number of instances)
- Confusion Matrix (a table that shows the number of true positives, false positives, true negatives, and false negatives)
- Area Under the Receiver Operating Characteristic Curve (AUC-ROC)
- Precision (the ratio of true positives to the sum of true positives and false positives)
- Recall or Sensitivity (the ratio of true positives to the sum of true positives and false negatives)

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