Validation Data
Validation Data is a subset of the dataset held back during machine learning training, used to evaluate model progress, adjust hyperparameters, and prevent overfitting.
Frequently Asked Questions
How does validation data differ from test data?▼
Validation data is used to optimize the model during training (e.g. tuning hyperparameters). Test data is completely held out until training is finished to perform the final independent evaluation.
What is cross-validation?▼
A training method where the dataset is split into multiple folds, and the model is trained and validated multiple times on different folds to ensure robustness.
Quick Facts
- CategoryModel Training
- Key ApplicationModel optimization, parameter selection metrics, and overfitting verification
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