mweka: Running Machine Learning Tool Weka from MATLAB

Runs Machine Learning Tool Weka from MATLAB
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Actualizado 12 sep 2012

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This GUI runs the weka classifiers and displays the results in MATLAB.

MAIN FEATURES

1. Command line options for running weka
2. Demonstrate how to change classifier option using java class (similiar to GenericObjectEditor in weka)
3. Read and Write ARFF file to/from MATLAB
4. Able to select attributes from GUI to test with different input combinations
4. Show results graphically immediately
5. Easy to compare the results graphically for different runs
6. Bottom figures of the visualization panels show the dynamic zoom of the upper part

This tool demonstrates the following gui tricks among the others

1. How to write memo
2. How to use list box for displaying the results of different runs
3. How to code mouse movement

You can find many more other tricks in this program.

LIMITATIONS

1. Works only with numerical prediction
2. Test options - training and test set (i.e. no cross-validation option etc)
3. Designed to work with weka-3-2, however it is easy to update for the new versions

Citar como

Durga Lal Shrestha (2024). mweka: Running Machine Learning Tool Weka from MATLAB (https://www.mathworks.com/matlabcentral/fileexchange/24839-mweka-running-machine-learning-tool-weka-from-matlab), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2012b
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux
Categorías
Más información sobre Statistics and Machine Learning Toolbox en Help Center y MATLAB Answers.
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Versión Publicado Notas de la versión
1.2.0.0

Updated to include an App file for R2012b

1.1.0.0

Update of title and summary

1.0.0.0