A Matlab function For Randomly Partitioning Date into Training, Validation and Testing Data

A Matlab function For Randomly Partitioning Date into Training, Validation and Testing Data

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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

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Joseph Santarcangelo (2026). A Matlab function For Randomly Partitioning Date into Training, Validation and Testing Data (https://la.mathworks.com/matlabcentral/fileexchange/48538-a-matlab-function-for-randomly-partitioning-date-into-training-validation-and-testing-data), MATLAB Central File Exchange. Recuperado .

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Más información sobre Statistics and Machine Learning Toolbox en Help Center y MATLAB Answers.

Información general

Compatibilidad con la versión de MATLAB

  • Compatible con cualquier versión

Compatibilidad con las plataformas

  • Windows
  • macOS
  • Linux
Versión Publicado Notas de la versión Action
1.2.0.0

put more references

1.1.0.0

Put: your matlab need to have access to the function crossvalind

1.0.0.0