K-Fold Cross Validation
版本 1.1.0.0 (1.6 KB) 作者:
Mat Labber
K-Fold Cross Validation for Binary Classification, using LibSVM
You need to add LibSVM into MATLAB path before using this.
引用格式
Mat Labber (2026). K-Fold Cross Validation (https://ww2.mathworks.cn/matlabcentral/fileexchange/46828-k-fold-cross-validation), MATLAB Central File Exchange. 检索时间: .
MATLAB 版本兼容性
创建方式
R2013a
兼容任何版本
平台兼容性
Windows macOS Linux类别
在 Help Center 和 MATLAB Answers 中查找有关 Statistics and Machine Learning Toolbox 的更多信息
标签
致谢
启发作品: 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
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