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Hi, I am new to RapidMiner. For my assignment I am asked to build a classification tree for this data set of heart disease information. I was requested to normalize the attributes for the decision tree process and discretize the numeric values. I have done this, and I did a 70-30 split of the data for training and testing. I even got rid of some of the data that had Cholesterol of a value of 0 which seemed to bias the results. I still get 100% accuracy, and no tree showing:
No matter what parameters I use, I get the same result:
Can you provide your process and also your example set?
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