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A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python
Python486 stars102 forksMIT
adaboostc45-treescartcategorical-featuresdata-miningdata-sciencedecision-treesgbdtgbmgbrtgradient-boostinggradient-boosting-machinegradient-boosting-machinesid3kagglemachine-learningpythonrandom-forestregression-tree
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