The quest for the reliability of machine learning models in binary classification on tabular data
Abstract In this paper we explore the reliability of contexts of machine learning (ML) models. There are several evaluation procedures commonly used to validate a model (precision, F1 Score and others); However, these procedures are not linked to the evaluation of learning itself, but only to the nu...
| 出版年: | Scientific Reports |
|---|---|
| 主要な著者: | , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
Nature Portfolio
2023-10-01
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| オンライン･アクセス: | https://doi.org/10.1038/s41598-023-45876-9 |