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I am a student and try to understand the RapidMiner output after applying a trained model (e.g. multiclass with SVM, KNN, NB). I am getting the prediction and for each possible class/label the confidence value. But I don't know how to interpret these confidence values and how their calculation is defined.
Do you know, if there are definitions anywhere of the calculation and interpretation of the confidence values for each classification algorithm (e.g. SVM, KNN, NB)?