HELP PLS: 3 datasets, Simple Voting, 3 base-member classifiers
Hello guys, I am new to RapidMiner. Basically I have three different Datasets of 2D features (i.e. each file has 3 columns: label, feature0, feature1). I want to do an ensemble of classifiers using simple voting. Each classifier have its own dataset features as input: 1- dataset0(feature00,feature01)-->Classifier0 2- dataset1(feature10,feature11)-->Classifier1 3- dataset2(feature20,feature21)-->Classifier2
the above classifiers can be similar (such as all SVMs) or different (such as MLP, SVM, kNN, respectively). Models of these classifiers are stored and called back using (read Model).