Difference between revisions of "Train, Validate, and Test"
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* [http://towardsdatascience.com/train-validation-and-test-sets-72cb40cba9e7 About Train, Validation and Test Sets in Machine Learning | Tarang Shah - Towards Data Science] | * [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] | * [http://machinelearningmastery.com/difference-test-validation-datasets/?source=post_page--------------------------- What is the Difference Between Test and Validation Datasets? | Jason Brownlee - Machine Learning Mastery] | ||
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* Training Dataset: The sample of data used to fit the model. | * Training Dataset: The sample of data used to fit the model. | ||
Revision as of 17:15, 25 July 2019
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- 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.
