Stratified cross-validation for multi-label data sets

버전 1.0.1 (2.07 KB) 작성자: Jan Motl
Greedily assign samples into folds based on their labels
다운로드 수: 61
업데이트 날짜: 2019/10/29

라이선스 보기

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.

인용 양식

Jan Motl (2024). 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. 검색됨 .

MATLAB 릴리스 호환 정보
개발 환경: R2018a
모든 릴리스와 호환
플랫폼 호환성
Windows macOS Linux
카테고리
Help CenterMATLAB Answers에서 Statistics and Machine Learning Toolbox에 대해 자세히 알아보기

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
버전 게시됨 릴리스 정보
1.0.1

Update title text

1.0.0