Additional file 6 of Machine learning-based classification of roses using 18 SNP markers for optimized genebank management

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Authors: Laurine Patzer, Marcus Linde, Thomas Debener
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Abstract

Supplementary Material 6. Performance metrics of supervised learning models for rose classes trained on SNP data using original horticultural labels and labels derived on expert knowledge.

Fields of Study & Subjects

Genetic Mapping and Diversity in Plants and Animals Genetic diversity and population structure Plant Taxonomy and Phylogenetics

Publication details

Journal / source
Figshare
Publication date
1 January 2026