GitHub - sharmeen-k/Drug-Classification-Model: A Decision Tree model from scikitlearn was employed to determine, with 98% accuracy, the most suitable drug for a patient from a historical dataset. The categorical values in the dataset were label-encoded and the model was trained to minimize entropy, with max depth = 4.

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