Artikel ; Online: Everything has its price: Foundations of cost-sensitive machine learning and its application in psychology.
2023
Abstract: Psychology has seen an increase in the use of machine learning (ML) methods. In many applications, observations are classified into one of two groups (binary classification). Off-the-shelf classification algorithms assume that the costs of a ... ...
| Abstract | Psychology has seen an increase in the use of machine learning (ML) methods. In many applications, observations are classified into one of two groups (binary classification). Off-the-shelf classification algorithms assume that the costs of a misclassification (false positive or false negative) are equal. Because this is often not reasonable (e.g., in clinical psychology), cost-sensitive machine learning (CSL) methods can take different cost ratios into account. We present the mathematical foundations and introduce a taxonomy of the most commonly used CSL methods, before demonstrating their application and usefulness on psychological data, that is, the drug consumption data set ( |
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| Sprache | Englisch |
| Erscheinungsdatum | 2023-08-10 |
| Erscheinungsland | United States |
| Dokumenttyp | Journal Article |
| ZDB-ID | 2103345-6 |
| ISSN | 1939-1463 ; 1082-989X |
| ISSN (online) | 1939-1463 |
| ISSN | 1082-989X |
| DOI | 10.1037/met0000586 |
| Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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