Scoreboard API Reference

The kreview.scoreboard module builds cross-evaluator comparison tables, ranking features by their classification performance across all trained models.

For conceptual explanations, see:

• Models & Metrics
• Dashboard Interpretation Guide

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kreview.scoreboard

Cross-evaluator scoreboard aggregation.

Reads all *_model_results.json files from the output directory and produces a unified ranking table comparing AUC, sensitivity, and specificity across all evaluators.

build_scoreboard(output_dir)

Aggregate all evaluator model results into a ranked scoreboard.

Scans for *_model_results.json files, extracts key metrics, and returns a DataFrame sorted by best AUC descending.

Parameters:

Name	Type	Description	Default
output_dir	Path	Path containing model result JSON files.	required

Returns:

Type	Description
DataFrame	DataFrame with one row per evaluator, sorted by best_auc.
DataFrame	Empty DataFrame if no results are found.