Stratified cross-validation for multi-label data sets
Greedily assign samples into folds based on their labels
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The algorithm partitions a binary multi-label Y into N folds. The returned vector assigns samples into the folds such way, that the same distribution of positive and negative samples of each label is approximately maintained across all folds.
The implementation can be used as a drop-in replacement for CVPARTITION.
Reference: On the Stratification of Multi-label Data by Sechidis, Konstantinos & Tsoumakas, Grigorios & Vlahavas, Ioannis.
Cite As
Jan Motl (2026). Stratified cross-validation for multi-label data sets (https://www.mathworks.com/matlabcentral/fileexchange/73003-stratified-cross-validation-for-multi-label-data-sets), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.1 (2.07 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
