Model: {{ model_name }} ({{ model_type }}) Method: {{ method|default('Conformal Prediction') }} Alpha Levels: {{ alpha_levels|length if alpha_levels else 0 }} Features: {{ features|length if features else 0 }}

Base Score {{ "%.4f"|format(base_score|default(0)) }}

Uncertainty Score {{ "%.4f"|format(uncertainty_score|default(0)) }}

Avg Coverage {{ "%.4f"|format(avg_coverage|default(0)) }}

Calibration Error {{ "%.4f"|format(calibration_error|default(0)) }}

Avg Width {{ "%.4f"|format(avg_width|default(0)) }}

Uncertainty Quantification Overview

This report analyzes the model's uncertainty quantification performance using prediction intervals.

Coverage vs Width Trade-off

Balance between prediction interval coverage and width across confidence levels.

Coverage by Alpha Level

Coverage rates across different confidence levels.

Detailed Coverage Statistics

Alpha	Target Coverage	Actual Coverage	Avg Width	Calibration Error

Feature Impact on Uncertainty

Features that most influence prediction interval width.

Feature Details

Note: Values based on feature importance scaled by prediction interval width. Higher "Width Impact" indicates features more influential on predictions.

Feature	Width Impact	Stability Index

Calibration Analysis

Calibration curve showing predicted vs actual coverage.

Interval Width Distribution

Distribution of prediction interval widths.

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