Deterministic Classifiers Accuracy Optimization for Cancer Microarray Data
The objective of this study was to improve classification accuracy in cancer microarray gene expression data using a collection of machine learning algorithms available in WEKA. State of the art deterministic classification methods, such as: Kernel Logistic Regression, Support Vector Machine, Stocha...
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| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2020
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| Texto completo: | http://hdl.handle.net/10198/20833 |
| País: | Portugal |
| Oai: | oai:bibliotecadigital.ipb.pt:10198/20833 |