AIC vs BIC Delta

Problem

Return the difference AIC - BIC for a model with k parameters fitted to n samples. The likelihood terms cancel, leaving

delta = k * (2 - ln(n))

Hint

AIC and BIC only differ in their complexity penalty for the same model.

case 1

in: [8,2]

expected: -0.1588830833596715

case 2

in: [16,3]

expected: -2.3177661667193434

case 3

in: [2,5]

expected: 6.534264097200273

case 4

in: [100,1]

expected: -2.605170185988092

Starter codePython

import math
def aic_bic_delta(n_samples, n_params):
    # Your code here
    pass

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