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Decision tree, random forest and classification of data set
I am new to the rapid miner. Could some one please help me to create a decision tree and random forest (got 1 target attribute and 12 parameters influencing it). Also I need to classify the data (with regression) based on the output. The main objective is to check whether a single parameter or a combination of 2 or 4 or 5 parameters significantly or moderately influences the the main target attribute ? The data is attached for your reference. I tried working on selecting attributes, set roles but got some errors like missing labels and parameter missing.