Likelihood Ratios

Problem

Return [LR+, LR-] for a test: LR+ = sensitivity / (1 - specificity) and LR- = (1 - sensitivity) / specificity. Return 0.0 for a ratio whose denominator is zero.

Hint

Positive likelihood ratios above 1 increase the post-test odds.

Test cases

case 1

in: [0.9,0.8]

expected: [4.500000000000001,0.12499999999999997]

case 2

in: [1,1]

expected: [0,0]

case 3

in: [0.8,0.9]

expected: [8.000000000000002,0.22222222222222215]

case 4

in: [0.5,0.5]

expected: [1,1]

case 5

in: [0,0]

expected: [0,0]

Starter codePython

def likelihood_ratios(sensitivity, specificity):
    # Your code here
    pass

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