Dear friends,
I am comparing the confusion matrix obtained using CostSensitive in KNIME with respect to that obtained using WEKA and I have observed that in some case, there are significative differences between them. However, both programs select the same set of features (descriptores) to build the models.
Could anyone explain the reason of these differences?
Thank you a lot in advance for your time and consideration,
marta