← Questions
Precision and recall at k from a flaky top-k API
0
I was asked this
No reports yet. Sign in to say where you were asked it.
An API returns a model's top-k predictions for each query, but calls sometimes fail or time out. Compute precision and recall against the true labels across a set of queries, with retries and a sensible way to report queries that never succeeded.
No official answer yet. Write yours on the right and run it.
Nothing published yet.
Sign in to submit your code; every attempt is kept here.
Write and test your solution herePython in your browser, the question's tests level by level, every submission kept for you.Sign in to start coding