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[SOLVED] Vote operator. How it works?
Everything is done in X-Validation and testing subprocess contains Apply Model -> Performance(typical approach).
I've read description of Vote Operator and it says that it uses majority vote to take prediction. My process is classification problem(only 2 classes: true, false).
I am wondering how vote exactly works.
1. Does it take for each record only predicted class from SVMs outputs and count how many times it was true and false, and take the largest one(ex. 4 SVM predicted true class for the record so vote also predicts true)?
2. It uses some kind of probability approach. I mean that SVM classifiers gives an information about how likely record is true and how likely it is false and vote learns on that predictions.
If first is correct how can I perform second approach ?