HELP PLS: 3 datasets, Simple Voting, 3 base-member classifiers
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:
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).