Trinary tools for continuously valued binary classifiers
Classification methods for binary (yes/no) tasks often produce a continuously valued score. Machine learning practitioners must perform model selection, calibration, discretization, performance assessment, tuning, and fairness assessment. Such tasks involve examining classifier results, typically us...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-06-01
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| Series: | Visual Informatics |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468502X22000195 |