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Comparing the performance of meta-classifiers—a case study on selected imbalanced data sets relevant for prediction of liver toxicity
ABSTRACT: Cheminformatics datasets used in classification problems, especially those related to biological or physicochemical properties, are often imbalanced. This presents a major challenge in development of in silico prediction models, as the traditional machine learning algorithms are known to w...
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| Publicado no: | J Comput Aided Mol Des |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer International Publishing
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5919997/ https://ncbi.nlm.nih.gov/pubmed/29626291 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10822-018-0116-z |
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