Expected Zero One Loss

Problem

The optimal 0/1 classifier predicts the most likely class, so its expected loss is 1 minus the maximum posterior probability.

Given the class posteriors, return the expected zero-one loss.

Hint

The error is the mass outside the predicted class.

case 1

in: [[0.7,0.3]]

expected: 0.30000000000000004

case 2

in: [[0.5,0.5]]

expected: 0.5

case 3

in: [[0.1,0.2,0.7]]

expected: 0.30000000000000004

Starter codePython

def expected_zero_one_loss(posteriors):
    # Your code here
    pass

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