K-Fold Cross Validation

Version 1.1.0.0 (1.63 KB) by Mat Labber

K-Fold Cross Validation for Binary Classification, using LibSVM

4.5

(2)

1.9K Downloads

Updated 2 Jun 2014

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You need to add LibSVM into MATLAB path before using this.

Cite As

Mat Labber (2026). K-Fold Cross Validation (https://ch.mathworks.com/matlabcentral/fileexchange/46828-k-fold-cross-validation), MATLAB Central File Exchange. Retrieved January 16, 2026.

MATLAB Release Compatibility

Created with R2013a

Compatible with any release

Platform Compatibility

Windows macOS Linux

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Acknowledgements

Inspired: Simple, Repeated and Nested Cross-Validation and Bootstrapping fold generation, Biot savart Law, Number_MOLS(n), length_opti(x1,y1,x2,y2), threeD_grasp, EvaluadorCrossValidation(clase,numRepresentantes,numDimensiones,numClases,clasificador), Transformation matrix for stress and strain, Truss displacement based on FEM, Beam information, fileread(sec1,sec2,point), myroots(Pcoef,tol,rootclass), rookpoly(Pcoef), Truss simulation

Version	Published	Release Notes
1.1.0.0	2 Jun 2014	-	Download
1.0.0.0	2 Jun 2014		Download

K-Fold Cross Validation

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Requires

MATLAB Release Compatibility

Platform Compatibility

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Acknowledgements

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