/jwjohnson314
From: scikit-learn <scikit-learn-bounces+jeremiah.johnson=unh@python.org>
on behalf of Joel Nothman <joel.noth...@gmail.com>
Sent: Saturday, January 21, 2017 5:52 AM
To: Scikit-learn user and developer mailing list
Subject: Re: [scikit-
There are metrics with that kind of input in sklearn.metrics.ranking. I
don't have the time to look them up now, but there have been proposals and
PRs for similar ranking metrics. Please search the issue tracker for
related issues. Thanks, Joel
On 21 January 2017 at 06:16, Johnson, Jeremiah
Hi all,
It's common to use a top-n accuracy metric for multi-class classification
problems, where for each observation the prediction is the set of probabilities
for each of the classes, and a prediction is top-N accurate if the correct
class is among the N highest predicted probability
