Difference between revisions of "Train, Validate, and Test"
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* [[Evaluation Measures - Classification Performance]] | * [[Evaluation Measures - Classification Performance]] | ||
| + | * [http://medium.com/datadriveninvestor/data-science-essentials-why-train-validation-test-data-b7f7d472dc1f Data Science essentials: Why train-validation-test data? | Sagar Patel - Medium] | ||
| + | * [http://towardsdatascience.com/train-validation-and-test-sets-72cb40cba9e7 About Train, Validation and Test Sets in Machine Learning | Tarang Shah - Towards Data Science] | ||
| + | * [http://machinelearningmastery.com/difference-test-validation-datasets/?source=post_page--------------------------- What is the Difference Between Test and Validation Datasets? | Jason Brownlee - Machine Learning Mastery] | ||
| − | + | * Training Dataset: The sample of data used to fit the model. | |
| + | * Validation Dataset: The sample of data used to provide an unbiased evaluation of a model fit on the training dataset while tuning model hyperparameters. The evaluation becomes more biased as skill on the validation dataset is incorporated into the model configuration. | ||
| + | * Test Dataset: The sample of data used to provide an unbiased evaluation of a final model fit on the training dataset. | ||
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Revision as of 17:14, 25 July 2019
YouTube search... ...Google search
- Evaluation Measures - Classification Performance
- Data Science essentials: Why train-validation-test data? | Sagar Patel - Medium
- About Train, Validation and Test Sets in Machine Learning | Tarang Shah - Towards Data Science
- What is the Difference Between Test and Validation Datasets? | Jason Brownlee - Machine Learning Mastery
- Training Dataset: The sample of data used to fit the model.
- Validation Dataset: The sample of data used to provide an unbiased evaluation of a model fit on the training dataset while tuning model hyperparameters. The evaluation becomes more biased as skill on the validation dataset is incorporated into the model configuration.
- Test Dataset: The sample of data used to provide an unbiased evaluation of a final model fit on the training dataset.
