Compare performance metrics across all trained algorithms on the diabetes prediction task. Click any model name to explore its full evaluation report.
Side-by-side metric comparison across all models.
Model | Algorithm | Status | Accuracy | F1 | Precision | Recall | AUC-ROC |
|---|---|---|---|---|---|---|---|
| logistic_regression | LogisticRegression | Active | 88.1% | 88.2% | 87.7% | 88.7% | 96.0% |
| random_forest | RandomForestClassifier | Active | 90.8% | 91.0% | 88.7% | 93.5% | 97.7% |
| svc_linear | SVC | Active | 88.1% | 88.2% | 87.2% | 89.3% | 96.0% |
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