A healthcare data analyst is evaluating model performance. The model correctly predicted 142 out of 150 diabetic cases and correctly ruled out 88 out of 100 non-diabetic cases. What is the models overall accuracy, rounded to the nearest whole percent?

Fri, 17 Apr 2026 17:01:53 +0000

A healthcare data analyst is evaluating model performance. The model correctly predicted 142 out of 150 diabetic cases and correctly ruled out 88 out of 100 non-diabetic cases. What is the model’s overall accuracy, rounded to the nearest whole percent? This hands-on assessment reflects a broader conversation in US healthcare: how increasingly sophisticated data models support early detection and precision medicine. With rising diabetes prevalence and growing investments in AI-driven diagnostics, understanding model performance is critical for clinicians and researchers alike. In this context, evaluating accuracy helps determine how reliably such tools can flag risk and reduce false positives—key steps toward actionable insights. --- ### What Is Model Accuracy, and Why It Matters?