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

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Presentation transcript:

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 –Remote: how to distribute experiments over several machines to speed up the execution time. New experiment: click New –Simple –Advanced Results destination –ARFF fileARFF –CSV file –JDBC database

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

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.

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

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.

Test Output