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Artificial Intelligence & Machine Learning
Q25 / 100
What is a confusion matrix?
Correct! Well done.
Incorrect.
The correct answer is B) A table showing counts of true positives, true negatives, false positives, and false negatives for a classification model
B
Correct Answer
A table showing counts of true positives, true negatives, false positives, and false negatives for a classification model
Explanation
Confusion matrix rows = actual class, columns = predicted class. TP: correct positives. TN: correct negatives. FP: false alarms. FN: missed detections. Derives precision, recall, F1, accuracy, and ROC curves.
Progress
25/100