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Source Code ยท
โ–ถ
How to Use (Video Guide) ยท
๐Ÿ“Š ROC ยท AUC ยท Confusion Matrix ยท Export

Receiver Operating Characteristic (ROC)
Analysis

Professional-grade diagnostic analysis made accessible. Everything from AUC to classification performance, beautifully visualized and export-ready.

Dependent Variable (Outcome)
Independent Variables (Predictors)

๐Ÿ“Š Analysis Results

ROC Curve

Graph Customization

Want to compute the Confusion Matrix?

Generate a full classification performance breakdown โ€” confusion matrix, sensitivity, specificity, PPV, NPV, and more.

Classification Threshold
Probability cutoff for predicted class (0.0โ€“1.0)
Confidence Level
Max Iterations (IRLS)

Confusion Matrix & Classification Performance

Confusion Matrix (Threshold = 0.50)
Classification Performance Metrics

Predicted Probability Distribution

Distribution by Outcome Class

Predicted Probabilities

Observation-Level Predictions