Greed Is Good: Rapid Hyperparameter Optimization and Model Selection Using Greedy <i>k</i>-Fold Cross Validation
Selecting a final machine learning (ML) model typically occurs after a process of hyperparameter optimization in which many candidate models with varying structural properties and algorithmic settings are evaluated and compared. Evaluating each candidate model commonly relies on <i>k</i>...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/10/16/1973 |