I have modelled a simple regression tree on KNIME. When I use a 70-30 percent train test data, I get an acceptable R Squared of 0.9. but when I use X-Partitioner and X-aggregator for cross-validation the R-squared becomes 1. What is the problem that I get 1?
Have you ensured that everything else in your workflow is the same beside the splitting?
Yes. Everything else is the same before splitting.
Is it possible for you to share the workflow with the data that generates this kind of results? It would be easier for the forum to help you if so.
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