I understand percentile in the context of test scores with many examples (eg. you SAT score falls in the 99th percentile), but I am not sure I understand percentile in the following context and what is going on. Imagine a model outputs probabilities (on some days we have a lot of new data and outputted probabilities, and some days we don't). Imagine I want to compute the 99th percentile of outputted probabilities. Here are the probabilities for today:
a = np.array([0,0.2,0.4,0.7,1]) p = np.percentile(a,99) print(p) 0.988
I don't understand how the 99th percentile is computed in this situation where there are only 5 outputted probabilities. How was the output computed? Thanks!