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Decision Tree using Auto Model
Arupriya_Sen
I am doing Fraud Detection Analysis with Decision Tree using Auto Model in RapidMiner version 9.3.0. The dataset and screenshots are attached below. Instead of getting a nice tree, I am getting just a single good leaf. This means that the Auto Model is predicting all the examples of the label attribute to be good. How do I get a nice proper tree? can anyone help me with this?
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varunm1
Duplicate question.
@dbabrauskaite
can delete the current thread. The original thread posted below for reference
https://community.rapidminer.com/discussion/55217/decision-tree-using-auto-model#latest
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