Training Set
The subset of data used to update model parameters and allow the model to learn patterns. It is the central component of the three-way data split consisting of training set, validation set and test set.
Timeline (last 90 days)
Training a vision model requires dividing the data into a training set, a validation set, and a test set: the training set is used to update model parameters, the validation set is used to tune hyperparameters and select the model version, and the test set is used to evaluate the model's true performance on unseen data.
When evaluating a model, data is usually split into a training set and a test set, with the test set used to measure the true level of generalization.
All Facts (2)
Training a vision model requires dividing the data into a training set, a validation set, and a test set: the training set is used to update model parameters, the validation set is used to tune hyperparameters and select the model version, and the test set is used to evaluate the model's true performance on unseen data.
50%UnverifiedWhen evaluating a model, data is usually split into a training set and a test set, with the test set used to measure the true level of generalization.
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