{{ data.metrics.robustness_score | format_number(3) }}
{{ data.metrics.base_score | format_number(3) }}
{{ data.metrics.avg_raw_impact | format_percentage(2) }}
{{ data.metrics.avg_quantile_impact | format_percentage(2) }}
Interpretation: {% if data.metrics.robustness_score >= 0.8 %} Excellent robustness! The model shows strong resistance to perturbations. {% elif data.metrics.robustness_score >= 0.6 %} Good robustness. The model is reasonably stable under perturbations. {% else %} Low robustness. The model is sensitive to input perturbations and may require improvement. {% endif %}
At the highest perturbation level ({{ data.perturbation_results_raw[-1].level }}), the raw perturbation mean score was {{ data.perturbation_results_raw[-1].mean_score | format_number(3) }}, representing a {{ data.perturbation_results_raw[-1].impact | format_percentage(2) }} impact.
{% endif %}| Rank | Feature | Importance |
|---|---|---|
| {{ feature.rank }} | {{ feature.feature_name }} | {{ feature.importance | format_number(4) }} |
| Level | Mean Score | Worst Score | Impact | Samples |
|---|---|---|---|---|
| {{ result.level }} | {{ result.mean_score | format_number(4) }} | {{ result.worst_score | format_number(4) if result.worst_score else 'N/A' }} | {{ result.impact | format_percentage(2) }} | {{ result.num_samples }} |
| Level | Mean Score | Worst Score | Impact | Samples |
|---|---|---|---|---|
| {{ result.level }} | {{ result.mean_score | format_number(4) }} | {{ result.worst_score | format_number(4) if result.worst_score else 'N/A' }} | {{ result.impact | format_percentage(2) }} | {{ result.num_samples }} |
| {{ key | format_metric_name }} | {{ value }} |
|---|