ROC Curve & AUC Analysis

Dataset

Cardiovascular risk cohort — 200 rows · 8 variables

Analysis

Logistic regression predicting CVD event. ROC curve comparing HbA1c-only model (AUC 0.83) vs. combined model (AUC 0.71).

Output preview

All data shown is fully synthetic and for demonstration purposes only.

Example AI interpretation

The HbA1c model achieved an AUC of 0.83, indicating good discriminative ability. Adding BMI and smoking did not improve discrimination (AUC 0.71), suggesting HbA1c alone is the strongest predictor of cardiovascular risk in this cohort.

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