ROC Curve

A graphical plot that shows the trade-off between true positive rate and false positive rate across different classification thresholds, helping assess the diagnostic ability of a binary classifier. A model with a curve closer to the top-left corner generally performs better.

Within ModelOp's AI governance framework, ROC curves are essential components of model assessment and traceability, supporting the platform's emphasis on tracking and documenting model lineage, including testing results, for audit and compliance purposes. These performance metrics are crucial for ensuring the accuracy and reliability of deployed models while maintaining comprehensive governance oversight.

See also Metric Function.

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