Hamming Loss for Segmentation Masks

Problem

Compute the Hamming loss between two lists of multi-label vectors.

Return the fraction of individual label positions that differ over all vectors, rounded to 4 decimal places.

case 1

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

expected: 0.25

case 2

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

expected: 1

case 3

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

expected: 0

Starter codePython

def hamming_loss(pred, target):
    # Your code here
    pass

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