AWS – Amazon SageMaker Autopilot adds automatic cross validation to improve model quality on smaller datasets by up to 35%

Amazon SageMaker Autopilot automatically builds, trains, and tunes the best machine learning models based on your data, while allowing you to maintain full control and visibility. Starting today, Autopilot performs cross validation on input datasets under 50,000 rows for all problem types – regression, binary classification and multi class classification. With cross validation, you benefit from increased robustness to undesired splits between training and validation data, resulting in improved model quality. Depending on dataset and problem type, you may see improved model quality by up to 35%.

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