Model: {{ model_name }} ({{ model_type }}) Metric: {{ metric }} Levels: {{ total_levels }} Features: {{ total_features }}

Base Score {{ "%.4f"|format(base_score) }}

Robustness Score {{ "%.4f"|format(robustness_score) }}

Avg Impact {{ "%.4f"|format(avg_impact) }}

Perturbation Levels {{ total_levels }}

Features Tested {{ total_features }}

Robustness Overview

This chart shows how the model performs under different perturbation levels.

Score Distribution

Distribution of scores across iterations for each perturbation level.

Performance degradation at each perturbation level.

Level	Mean Score	Worst Score	Std Dev	Impact

Top features ranked by their importance to the model.

Feature	Importance	Robustness Impact

{% if has_weakspot_analysis %}

Identifies regions in the feature space where the model's performance significantly degrades.

Total WeakSpots -

Critical WeakSpots -

Max Severity -

Features Analyzed -

Feature	Range	Samples	Mean Residual	Severity

{% endif %} {% if has_overfitting_analysis %}

Detects regions where the model shows significant train-test performance gaps.

Features Analyzed -

Features with Overfitting -

Max Gap -

Worst Feature -

Feature	Max Gap	Overfit Slices	Total Slices

{% endif %}