This is an implementation of Random Forest, I tested it on Wine Quality dataset.
To build one decision tree run main.py script.
Use grow_forest(dataset, K) to prepare forest.
Use evaluete_forest(forest, dataset) to train prepared forest.
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Project to learn how to implement decision tree and random decision forest
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