Classification & Regression - 2

Which metric is most important for spam filtering?

• Precision

• Recall

• RMSE

• Accuracy

Which metric is most important for disease screening?

• Accuracy

• Recall

• Precision

• Specificity

In model evaluation, when both false positives and false negatives are equally costly, the best metric is:

• Accuracy

• Precision

• Recall

• F1-score

F1-score is low if:

• Both precision and recall are high

• Either precision or recall is very low

• Accuracy is perfect

• Dataset is balanced

In cases where precision = 1 and recall = 0, the F1-score is:

• 1

• 0

• 0.5

• Undefined

F1-score is a type of:

• Arithmetic mean

• Geometric mean

• Harmonic mean

• Weighted average

Recall is also known as:

• Sensitivity

• Specificity

• Precision

• Accuracy

In a medical test, high recall means:

• Most healthy people are correctly identified

• Most sick people are correctly identified

• Few false positives occur

• Accuracy is 100%

Recall can be improved at the cost of:

• Reducing accuracy

• Reducing precision

• Reducing F1-score

• Increasing false negatives

Precision focuses on reducing:

• False negatives

• False positives

• True negatives

• True positives