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Model

A Decision Tree Classifier was trained and optimized by tuning the max_depth hyperparameter.

The best performance was achieved with:

  • max_depth = 4
  • Accuracy = 78.6%

The project also includes feature importance analysis and visualization of the decision tree.

About

Diabetes prediction using a Decision Tree Classifier with hyperparameter tuning, feature importance analysis, and model evaluation using Python and Scikit-learn.

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