Calibrating F1 Scores for Fair Performance Comparison of Binary Classification Models With Application to Student Dropout Prediction
The F1 score has been widely used to measure the performance of machine learning models. However, it is variant to the ratio of the positive class in the training data, <inline-formula> <tex-math notation="LaTeX">$\pi $ </tex-math></inline-formula>. Depending on how...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11106514/ |
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