Question

Statement 1: Confusion matrix is an evaluation metric.
Statement 2: Confusion Matrix is a record which helps in evaluation.

• A. Both Statement 1 and Statement 2 are correct.
• B. Both Statement 1 and Statement 2 are incorrect.
• C. Statement 1 is correct and Statement 2 is incorrect.
• D. Statement 2 is correct and Statement 1 is incorrect.

Hint:

Confusion matrices help evaluate the performance of classification models by showing true positives, false positives, true negatives, and false negatives.

Answer 1

The Correct Option is A

A confusion matrix is a fundamental evaluation metric in machine learning, used for assessing the performance of classification algorithms. It is a table that summarizes the number of correct and incorrect predictions made by a model, broken down by class. Statement 1 is correct because the confusion matrix is used for evaluation, and Statement 2 is also correct because it records the predicted vs actual outcomes, providing insights into model performance.