Specificity

Problem

Compute specificity (true negative rate) for binary labels with positive class 1: TN / (TN + FP).

Return 0.0 when the denominator is zero or the input is empty.

Hint

Specificity is recall for the negative class.

case 1

in: [[1,0,0,1,0],[1,1,0,1,0]]

expected: 0.6666666666666666

case 2

in: [[1,0,1,0],[1,0,1,0]]

expected: 1

case 3

in: [[1,1],[1,1]]

expected: 0

case 4

in: [[0,0],[1,1]]

expected: 0

case 5

in: [[],[]]

expected: 0

Starter codePython

def specificity(y_true, y_pred):
    # Your code here
    pass

5 test cases · run your code against them in the editor