Recall Score
MediumMachine LearningArray
Description
Given equal-length binary arrays yTrue and yPred (1 = positive), return recall = TP / (TP + FN), rounded to 4 decimal places. If there are no actual positives, return 0.
Examples
Input:
yTrue = [1,0,1,1], yPred = [1,1,1,0]Output:
0.6667Explanation:
Of all actual positives, the fraction the model recovered is 0.6667.
Input:
yTrue = [1,1,1], yPred = [1,0,1]Output:
0.6667Explanation:
Of all actual positives, the fraction the model recovered is 0.6667.
Input:
yTrue = [0,0], yPred = [1,1]Output:
0Explanation:
Of all actual positives, the fraction the model recovered is 0.
Constraints
- •
1 ≤ yTrue.length ≤ 10⁴ - •
values are 0 or 1