Which of the following is NOT a classification metric used in Scikit-learn?(1 Point)PrecisionRecallF1-scoreR-squared

Step 1: Identify the Classification Metrics

First, we need to recognize what classification metrics are typically used to evaluate the performance of classification algorithms. The common metrics include:

1. Precision
2. Recall
3. F1-score

Step 2: Identify R-squared

R-squared (also known as the coefficient of determination) is a statistical measure that represents the proportion of the variance for a dependent variable that's explained by an independent variable or variables. It is primarily used in regression analysis, not classification.

Step 3: Verify the Options

• Precision: A measure of the accuracy of positive predictions.
• Recall: Measures the ability of a model to find all the relevant cases (true positives).
• F1-score: The harmonic mean of precision and recall, providing a balance between the two.
• R-squared: A metric used for regression, not used for classification.

Final Answer

The metric that is NOT used for classification in Scikit-learn is R-squared.