Confusion Matrix, Accuracy, Recall, Precision.
+ 15 + 85) = 0.88 - Precision: 93 / (93 + 15) = 0.86 - Recall: 93 / (93 + 7) = 0.93 - Specificity: 85 / (85 + 15) = 0.85 - F1 Score: 2 * ((0.86 * 0.93) / (0.86 + 0.93)) = 0.89 4. Example: Multi-Class Classification: Consider a multi-class classification scenario where we want to predict the type of