Confusion Matrix, Accuracy, Recall, Precision.
representation that summarizes the performance of a classification model by comparing predicted and actual class labels. They help us analyze the model’s ability to correctly classify instances into different classes. The four key elements of a confusion matrix are True Positives (TP), True