Hello,
I think I might have found a bug in the BayesianGaussianMixture–or at least
encountered a behavior that I was not expecting. The problem occurs when
having clusters with small extent (in my case, it is 2D geographic data)
that are far away from each other. While the means and their number a
Hi Stuart,
I don't think so because there is no standard way to compute CI's. That goes
for all performance measures (accuracy, precision, recall, etc.). Some people
use simple binomial approximation intervals, some people prefer bootstrapping
etc. And it also depends on the data you have. In l
https://papers.nips.cc/paper/2645-confidence-intervals-for-the-area-under-the-roc-curve.pdf
Does scikit (or other Python libraries) provide functions to measure the
confidence interval of AUROC scores? Same question also for mean average
precision.
It seems like this should be a standard results r
