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3 cards from this section. Quick, good the night before a test.
What is a confusion matrix?
Think about how classification results are organized.
Explain what True Positives represent in a confusion matrix.
Consider what it means for a prediction to be correct.
What does a confusion matrix help with?
Consider the purpose of evaluating a model.
True or False? The diagonal values in a confusion matrix represent misclassifications.
Think about what the diagonal signifies.
Consider a confusion matrix for a multi-class classification problem with the following counts: Actual Positives for classes A, B, and C are 50, 60, and 40 respectively, and the predicted counts are as follows: Class A (TP: 40, FP: 10, FN: 10), Class B (TP: 45, FP: 5, FN: 15), Class C (TP: 25, FP: 5, FN: 20). Calculate the overall accuracy, precision, recall, and F1 score for each class.
Calculate each metric step-by-step for clarity.
If you have the following confusion matrix for a multi-class problem:
Look for patterns in the prediction errors to suggest improvements.
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