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Decision Tree's create a single optimized split at a time as opposed to choosing splits in the context of the whole model. This can make it difficult to analyze which variables are most important. If you're looking to find a reliable Variable Importance Report you'll likely have better luck using the Random Forrest model. Below are some links to Knowledge base articles about the Decision Tree tool and how it works and makes it's splits.