Judge Position Bias Rate

Problem

Given outcomes where 1 means the response shown first was selected and 0 means the second was selected, return the position bias (first_rate - second_rate) = (2 * first - n) / n. Return 0.0 for an empty list.

Test cases

case 1

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

expected: 0.5

case 2

in: [[1,0]]

expected: 0

case 3

in: [[]]

expected: 0

case 4

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

expected: 1

Starter codePython

def position_bias_rate(outcomes):
    # Your code here
    pass

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