Hello All,
I have two questions about predict_proba() method in sklearn.svm.NuSVC
and sklearn.svm.SVC
1. I am trying to understand how exactly this probability is calculated.
The document says "probability model is created using cross validation"
So I think to calculate probability it do cross validation N times and
counts how many time data point is in right class and calculates this
probability. Is it this description right? If so how many time this cross
validation is done (The value of N) .
2. Again from documents "it will produce meaningless results on very small
datasets"... how small is very small?
Thanks
--
Sheila
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