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Statistical Hypothesis Testing versus Machine Learning Binary Classification: Distinctions and Guidelines
Making binary decisions is a common data analytical task in scientific research and industrial applications. In data sciences, there are two related but distinct strategies: hypothesis testing and binary classification. In practice, how to choose between these two strategies can be unclear and rathe...
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| 出版年: | Patterns (N Y) |
|---|---|
| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Elsevier
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7546185/ https://ncbi.nlm.nih.gov/pubmed/33073257 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.patter.2020.100115 |
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