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Resampling Methods Improve the Predictive Power of Modeling in Class-Imbalanced Datasets
In the medical field, many outcome variables are dichotomized, and the two possible values of a dichotomized variable are referred to as classes. A dichotomized dataset is class-imbalanced if it consists mostly of one class, and performance of common classification models on this type of dataset ten...
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI
2014
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| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4199049/ https://ncbi.nlm.nih.gov/pubmed/25238271 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ijerph110909776 |
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