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This function randomly partitions data into training, validation and testing data using Cross Validation. Partitioning data in this manner is commonly used for determining the performance of algorithms with free parameters. Training data is commonly used to train the system, the optimum value for the free parameters is determined using validation data. Finally the results of the algorithm are determined using testing data. Matlab has a cross validation but I find it hard to use so I wrote my own. An example determining the optimum kernel with Support vector machines is used. Contact me if you have questions or suggestions
Citation pour cette source
Joseph Santarcangelo (2026). A Matlab function For Randomly Partitioning Date into Training, Validation and Testing Data (https://fr.mathworks.com/matlabcentral/fileexchange/48538-a-matlab-function-for-randomly-partitioning-date-into-training-validation-and-testing-data), MATLAB Central File Exchange. Extrait(e) le .
Remerciements
A inspiré : Simple, Repeated and Nested Cross-Validation and Bootstrapping fold generation
Catégories
En savoir plus sur Statistics and Machine Learning Toolbox dans Help Center et MATLAB Answers
Informations générales
- Version 1.2.0.0 (499 ko)
Compatibilité avec les versions de MATLAB
- Compatible avec toutes les versions
Plateformes compatibles
- Windows
- macOS
- Linux
| Version | Publié le | Notes de version | Action |
|---|---|---|---|
| 1.2.0.0 | put more references |
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| 1.1.0.0 | Put: your matlab need to have access to the function crossvalind |
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| 1.0.0.0 |
