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ISACA Advanced in AI Security Management (AAISM) · Isaca
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Measuring the error rate (incorrect predictions vs. total predictions) is a standard way to evaluate the operational effectiveness and business value of a system over time.
Analyzing incorrect predictions vs. total predictions is essentially measuring: Error rate, or Model accuracy These are classic model performance KPIs used to evaluate whether an AI/ML model is still effective and worth keeping in production. This aligns with operational monitoring and lifecycle management—not validation, explainability, or CSA.