Decision trees, random forests and AdaBoost are implemented in Java and evaluated on the Adult Data Set, yielding an accuracy of 80-85%. The implementation can easily be used for other datasets with modification only in the main method.
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Decision Tree, Random Forest and AdaBoost implementation from scratch.
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many-facedgod/Decision-Trees
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Decision Tree, Random Forest and AdaBoost implementation from scratch.
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