What is the purpose of a confusion matrix?
Correct Answer: A confusion matrix helps in evaluating the accuracy of a classification model.
- Step 1: Understand that a confusion matrix is a table used in machine learning.
- Step 2: Know that it compares the actual results (true classifications) with the results predicted by the model.
- Step 3: Realize that it helps to see how many predictions were correct and how many were wrong.
- Step 4: Learn that the matrix shows four key values: True Positives, True Negatives, False Positives, and False Negatives.
- Step 5: Use the confusion matrix to evaluate the performance of the classification model.
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