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WEKA - Experimenter

WEKA - Experimenter. (sumber: WEKA Explorer user Guide for Version 3-5-5). Applications - Experimenter. Experimenter - Setup. The setup of experiments is divided into two parts Standard: how to setup experiments in general

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WEKA - Experimenter

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  1. WEKA - Experimenter (sumber: WEKA Explorer user Guide for Version 3-5-5)

  2. Applications - Experimenter

  3. Experimenter - Setup • The setup of experiments is divided into two parts • Standard: how to setup experiments in general • Remote: how to distribute experiments over several machines to speed up the execution time. • New experiment: click New • Simple • Advanced • Results destination • ARFF file • CSV file • JDBC database

  4. Experimenter - Setup • Experiment type • Cross-validation (default): with the given number of folds • Train/Test Percentage Split (data randomized)splits a dataset according to the percentage into a train and a test file, after the data has been randomized and stratified • Train/Test Percentage Split (order preserved) • Iteration control • Number of repetitions: default is 10. • Data sets first/Algorithms first

  5. Experimenter - Setup • Example: Try an experiment performs 10 runs of 10-fold stratified cross-validation on the Iris dataset using the ZeroR and J48 scheme, and save the result in exp1.arff file.

  6. Experimenter - Run • To run the current experiment, click the Run tab at the top of the Experiment Environment window.

  7. Experimenter - Analyse • After the experiment setup is complete, run the experiment. Then, to analyse the results, select the Analyse tab at the top of the Experiment Environment window. • Results can also be loaded from an earlier experiment file by clicking File and loading the appropriate .arff results file. • Click Perform Test to generate an output file.

  8. Test Output

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