📚 node [[validation|validation]]
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⥅ related node [[2004 03 07 w3c markup validation service]]
⥅ related node [[the validation set]]
⥅ related node [[cross validation]]
⥅ related node [[validation]]
⥅ related node [[validation_set]]
⥅ node [[validation]] pulled by Agora
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Validation.md by @KGBicheno
validation
Go back to the [[AI Glossary]]
A process used, as part of training, to evaluate the quality of a machine learning model using the validation set. Because the validation set is disjoint from the training set, validation helps ensure that the model’s performance generalizes beyond the training set.
Contrast with test set.
⥅ node [[validation_set]] pulled by Agora
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Validation_Set.md by @KGBicheno
validation set
Go back to the [[AI Glossary]]
A subset of the dataset—disjoint from the training set—used in validation.
Contrast with training set and test set.
📖 stoas
- public document at doc.anagora.org/validation|validation
- video call at meet.jit.si/validation|validation
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