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RandomForest

A Random Forest Java implementation.

Used DecisionTree in another repository of mine.

#Instructions

  1. Specifying type for each attributes is required.
  2. Specifying selected splitting attributes is required.
  3. After creating the instance of a RandomForest, calling initialize() is required.
  4. Load data supports from file or from ArrayList<Sting[]> type data. This step is required for next step.
  5. After loading the data, call startTraining() method. This step is required for startTesting() method.
  6. (Optional) After step 5, call startTesting().

#Updates

  1. Typo fixes

#TODO

  1. Extend and modify this class to support MapReduce(Hadoop).

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A Random Forest Java implementation.

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