Use NumPy to calculate the likelihood ratio for the following data with the formula:
likelihood_ratio=tp*n*log tp/ep+(n-tp*n)*log(1-tp)/(1-ep)
n |
tp |
ep |
1000 |
0.5 |
0.3 |
8000 |
0.2 |
0.6 |
3000 |
0.8 |
0.7 |
5000 |
0.6 |
0.4 |
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