I am not sure about your question, if the question is:
"what is the best classifier for a particular data set"
the answer (well what I usually do) is to choose a performance metric 
(confusion matrix, precision vs recall, average accuracy)
and do a parameter search to find the best algorithm.

If that is your question I can share my code.
:-)
________________________________________
From: Abhi [[email protected]]
Sent: 26 November 2013 09:01
To: [email protected]
Subject: [Scikit-learn-general] Comparing probabilities

How can we normalize and compare probabilities from different classifier
 models in scikit?


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