Generalization
Generalization is a machine learning model's ability to make accurate predictions on new, unseen test data that was not present in the dataset used to train the network.
Frequently Asked Questions
How do you measure a model's generalization capability?▼
By checking its accuracy metrics on a completely held-out test dataset that the model weights never saw during optimization.
What prevents a model from generalizing well?▼
Overfitting training noise (memorizing details rather than learning general concepts) or a significant shift in data distributions (out-of-distribution inputs).
Quick Facts
- CategoryModel Training
- Key ApplicationValidation curve testing, model capability audits, and real-world deployment checks.
Coverage Trend12 Weeks
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