Cargando…
Comparison of Classification Success Rates of Different Machine Learning Algorithms in the Diagnosis of Breast Cancer
OBJECTIVE: To identify which Machine Learning (ML) algorithms are the most successful in predicting and diagnosing breast cancer according to accuracy rates. METHODS: The “College of Wisconsin Breast Cancer Dataset”, which consists of 569 data and 30 features, was classified using Support Vector Mac...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
West Asia Organization for Cancer Prevention
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9924317/ https://www.ncbi.nlm.nih.gov/pubmed/36308351 http://dx.doi.org/10.31557/APJCP.2022.23.10.3287 |