
Amazon SageMaker Canvas now allows training ML models with different objective metrics, enabling business analysts to optimize models for specific trade-offs and requirements without coding expertise.


<div><p>This article announces that Amazon SageMaker Canvas now supports training ML models with different objective metrics, enabling users to optimize models beyond default settings.</p><ul><li>Users can select from multiple supported objective metrics for model training</li><li>Allows assessment of trade-offs between metrics like precision and recall</li><li>Enhances model robustness and reduces overfitting risks</li><li>Enables business analysts to build ML models without coding expertise</li><li>Feature available in all AWS regions supporting SageMaker Canvas</li></ul><p>This enhancement gives non-technical users greater control over ML model optimization, allowing them to align model performance with specific business requirements.</p></div>


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