ロード中...
Optimal classifier selection and negative bias in error rate estimation: an empirical study on high-dimensional prediction
BACKGROUND: In biometric practice, researchers often apply a large number of different methods in a "trial-and-error" strategy to get as much as possible out of their data and, due to publication pressure or pressure from the consulting customer, present only the most favorable results. Th...
保存先:
| 主要な著者: | , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2009
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2813849/ https://ncbi.nlm.nih.gov/pubmed/20025773 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2288-9-85 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|