Performance Analysis Report
Type: | RandomForestClassifier |
Features: | 0 |
Primary Metric: | AUC |
Critical Features: | 3 |
Alternative Models: | 3 |
Perturbation Levels: | 6 |
Iterations Per Level: | 10 |
Max Impact Level: | 12.78% at 1.0 |
Feature Subset Impact: | 0% |
This section shows how the model's performance changes under different perturbation levels.
Comparison of robustness between different models.
Model | Base Score | Robustness Score | Raw Impact |
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Perturbation Level | Base Score | Perturbed Score | Impact | Subset Score |
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Detailed analysis of the model's performance under different perturbation types and levels.
Comparative view of model metrics
Performance metrics for all models
Model Name | Type | Accuracy | ROC AUC | F1 Score | Precision | Recall |
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Detailed analysis of the model's performance under different perturbation types and levels
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Distribution of model performance under different perturbation levels.
Model | Base Score | Median | Mean | IQR | Min | Max | Std Dev | Score Drop |
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Analysis of how each feature contributes to model robustness.
Feature ▼ | Robustness Impact | Model Importance | Feature Subset |
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Comparison between model feature importance and robustness impact.