This report presents the robustness analysis of the model against data perturbations.
Model: {{ model_type }}
Date: {{ timestamp }}
{{ (robustness_score * 100)|round|int }}%
{% if robustness_score >= 0.8 %} Excellent resistance to perturbations {% elif robustness_score >= 0.6 %} Good resistance to perturbations {% elif robustness_score >= 0.4 %} Moderate resistance to perturbations {% else %} Needs improvement in perturbation resistance {% endif %}
This section shows how the model's performance changes under different perturbation levels.
Comparison of robustness between different models (if available).
Model | Base Score | Robustness Score | Raw Impact | Quantile Impact |
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Perturbation Level | Base Score | Perturbed Score | Impact | Worst Score |
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Detailed analysis of the model's performance under different perturbation types and levels.
Distribution of model performance under different perturbation levels.
Analysis of how each feature contributes to model robustness.
Feature | Robustness Impact | Model Importance |
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Analysis of model features and their relationship to robustness.