Precision Recall

Compute precision and recall of binary predictions. Labels and predictions are 0/1 arrays of equal length; the positive class is 1.

Implement solve(y,pred).

Returns. Return a tuple (precision, recall). Precision is $0.00.0$ if nothing was predicted positive, and recall is $0.00.0$ if there are no actual positives.

Examples

Example 1

Input:

solve([0, 1, 1, 0], [0, 1, 0, 1])

Output:

(0.5, 0.5)

Example 2

Input:

solve([1, 1, 0, 0], [0, 0, 0, 0])

Output:

(0.0, 0.0)