A basic Decision Tree algorithm implemented from scratch in Python
Decision trees learn rules, as they split data by columns, so as to classify a data point. The python code in this repo, contains a basic implementation using a BTree. The split criterion used here is the Information Gain.
The dataset used in the code is the common Golf dataset.
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A basic Decision Tree algorithm implemented from scratch in Python
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