I don't understand the question.
By definition this function provides probability estimates. In the case 
of SVC, it is possible that these probabilities don't coincide with
the prediction.
You could make predictions using the probabilities if you'd liked. There 
is no other way to ensure consistency.


On 11/27/2015 05:00 AM, Jeff Levesque wrote:
> Hey all,
>
> I have a specific question: how do I ensure that the '.predict_proba()' 
> method, associated with the classification sklearn, accurately provides 
> probability, that a provided value is one of the predefined class:
>
> https://github.com/jeff1evesque/machine-learning/issues/1924#issuecomment-159491052
>
> There seems to be a level of error present for small datasets.  Is this 
> normal?
>
>
> Jeffrey Levesque
> https://github.com/jeff1evesque/
> (603) 969-5363
>
> Sent from my iPhone
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