I have been trying to fit a decision tree model by using a data partition. As long as none of the Training, Validation and Test allocation is set to 0, the model runs fine. However, I want to divide the data into only Training and Test, thus if I set Validation to 0, the data partition node runs fine but the decision tree node gives a run time error. Would appreciate if someone could help me out with this.
That should work - can you open the results of the Decision Tree node and see if there is a more informative error in the SAS log?
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Use this tutorial as a handy guide to weigh the pros and cons of these commonly used machine learning algorithms.
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