hi,
I wonder if someone could suggest which classifiers are the most useful to
produce probabilities associated with their predictions. In my case, I am
trying to perform a binary classification and I am trying to obtain an
estimate of the probability that the output classification is correct. I
initially started from an SVC but it seems that producing probability
estimates is not one of their biggest strength. I then turned to bayes
classifiers but the sklearn documentation is pretty clear about the fact
that the estimates produced by these classifiers are "not good". Is there
an well known alternative to do this or am I stuck with trying every
possible option until I find one that appears to work ?
Mathieu
--
Mathieu Lacage <[email protected]>
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