Academic Journal
Two-Group k -Adic Similarity Coefficients for Binary Classifiers
| العنوان: | Two-Group k -Adic Similarity Coefficients for Binary Classifiers |
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| المؤلفون: | Ana, Perisic, Sophie, Vanbelle |
| المصدر: | Ana , P & Sophie , V 2024 , ' Two-Group k -Adic Similarity Coefficients for Binary Classifiers ' , Journal of Classification . https://doi.org/10.1007/s00357-024-09498-8 |
| سنة النشر: | 2024 |
| المجموعة: | Maastricht University Research Publications |
| مصطلحات موضوعية: | Similarity, Binary sets, Consensus agreement, Jaccard coefficient, Simple matching coefficient, RESEMBLANCE MEASURES, MEASURING AGREEMENT, LOW KAPPA, ABSENCE, ASSOCIATION |
| الوصف: | When using two different sets of binary classification rules on the same items, we obtain two sets of binary vectors. We can, for example, consider the case of two groups of doctors with different experiences classifying patients as diseased or disease-free or two sets of different algorithms classifying consumers as churners or non-churners. In this paper, we propose to extend the well-known Jaccard coefficient and simple matching coefficient to quantify the similarity between two sets of binary vectors. The generalization will be based on the k-adic definition of similarity within sets. We derive the large sample variances of the new coefficients, investigate desirable properties of the established similarity coefficients, and present the applications to real-world datasets. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.1007/s00357-024-09498-8 |
| الاتاحة: | https://cris.maastrichtuniversity.nl/en/publications/1df72e19-062d-4d4b-a813-81d38dc4e96d https://doi.org/10.1007/s00357-024-09498-8 |
| Rights: | info:eu-repo/semantics/restrictedAccess |
| رقم الانضمام: | edsbas.6D3A51C8 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1007/s00357-024-09498-8 |
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