A dataset has 950 negative and 50 positive samples. A classifier predicts ALL samples as negative. What is the accuracy and approximately what is the F1 score for the positive class?

Question

Answer

Accuracy = 50%, F1 for positive class = 0.50

Answer

Accuracy = 95%, F1 for positive class = 0

Answer

Accuracy = 95%, F1 for positive class = 0.95

Answer

Accuracy = 5%, F1 for positive class = 0

Crowdly

A dataset has 950 negative and 50 positive samples. A classifier predicts ALL sa...

Want instant access to all verified answers on moodle.ucu.ac.ug?