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Implementation of Decision Tree classification algorithm in Python using Pandas, NumPy and Scikit-Learn.

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Decision-Tree-Manual-and-SKlearn-Implementations

Implementation of Decision Tree classification algorithm in Python using Pandas, NumPy and Scikit-Learn.

Classifier is being tested on sklearn "toy" datasets:

  • Iris plant dataset
  • Optical recognition of handwritten digits dataset
  • Wine recognition dataset
  • Breast cancer wisconsin (diagnostic) dataset

Each dataset is being tested with manual/sklearn classifiers with gini/entropy criteria.

Graphviz library is used to visualize decision trees for each case.