Confusion Matrix, Accuracy, Recall, Precision.
Negative Rate): It calculates the proportion of correctly predicted negative instances out of the total actual negative instances. - F1 Score: It is the harmonic mean of precision and recall, providing a balanced evaluation of the model’s performance. 3. Example: Binary Classification: Let’s