Forecast Bias Correction

Problem

Estimate the additive forecast bias: mean(actuals) - mean(forecasts).

Empty input returns 0.0.

Hint

Adding this bias to future forecasts centers them on the actuals.

case 1

in: [[10,12,14],[11,13,15]]

expected: 1

case 2

in: [[5,5],[5,5]]

expected: 0

case 3

in: [[10],[8]]

expected: -2

case 4

in: [[],[]]

expected: 0

Starter codePython

def bias_correction(forecasts, actuals):
    # Your code here
    pass

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