- A decision tree based on the C4.5 algorithm.
- Works on a wine dataset from https://archive.ics.uci.edu/ml/datasets/Wine+Quality
- Classifies based on wine quality in binary. 0-6 is "0" and above 7 is "1"
- Attributes are split based on normalized information gain
-
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C4.5 implementation using python
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