Model Information

{% if sensitive_features %} {% endif %}
Model Name {{ model_name }}
Model Type {{ model_type|default('Unknown') }}
Test Type {{ test_type|capitalize }}
Features Count {{ features|length|default(0) }}
Sensitive Features {{ sensitive_features|join(', ') }}
Generation Time {{ timestamp }}

Resilience Metrics

{% if metrics %} {% for metric_name, metric_value in metrics.items() %} {% if metric_name not in ['resilience_score', 'performance_gap', 'distribution_shift'] %} {% endif %} {% endfor %} {% endif %}
Metric Value Description
Resilience Score {{ "%.4f"|format(resilience_score) }} Overall model resilience measure (higher is better)
Performance Gap {{ "%.4f"|format(avg_performance_gap) }} Performance difference between normal and worst samples (lower is better)
Distribution Shift {{ "%.4f"|format(dist_shift|default(0)) }} Average feature distribution shift across scenarios
{{ metric_name|title }} {{ "%.4f"|format(metric_value|default(0)) }} Additional model performance metric
{% if charts.feature_residual_correlation %}

Feature-Residual Correlation

Shows which features are most correlated with model errors, helping identify potential areas for model improvement.

Feature-residual correlation
{% endif %} {% if charts.residual_distribution %}

Model Residual Distribution

Shows the distribution of residuals (prediction errors) across different datasets, helping identify biases under stress conditions.

Residual distribution
{% endif %}