Which of the following is NOT a common evaluation metric for classification mode

Which of the following is NOT a common evaluation metric for classification models?

Which of the following is NOT a common evaluation metric for classification models?

Step 1: Understand what classification models are. These are models that categorize data into different classes or groups.
Step 2: Learn about common evaluation metrics for classification models. These include Precision, Recall, and F1 Score.
Step 3: Identify what regression models are. These models predict continuous values rather than categories.
Step 4: Recognize that Mean Squared Error (MSE) is an evaluation metric used for regression models, not classification models.
Step 5: Conclude that since MSE is not used for classification, it is the correct answer to the question.

No concepts available.