What does recall refer to in classification?(1 Point)The proportion of only the correct data pointsThe proportion of all data pointsBoth the aboveNone of these
Question
What does recall refer to in classification?(1 Point)The proportion of only the correct data pointsThe proportion of all data pointsBoth the aboveNone of these
Solution
Recall in classification refers to the proportion of the correct data points. It is a measure of a model's ability to identify all relevant instances within a dataset. Specifically, it's the number of true positives (correctly predicted positives) divided by the sum of true positives and false negatives (positives that were incorrectly predicted as negatives). So, the correct answer is "The proportion of only the correct data points".
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