edaflow.ml.display_leaderboard

edaflow.ml.display_leaderboard(comparison_results: DataFrame = None, ranked_df: DataFrame = None, sort_by: str = None, ascending: bool = False, show_std: bool = False, top_n: int = 10, show_metrics: List[str] | None = None, highlight_best: bool = True, figsize: Tuple[int, int] = (12, 8)) → None

Display a visual leaderboard of model performance.

Parameters:

comparison_resultspd.DataFrame, optional

Raw comparison results from compare_models()

ranked_dfpd.DataFrame, optional

Pre-ranked results (alternative to comparison_results)

sort_bystr, optional

Metric to sort by. If None, uses first numeric column

ascendingbool, default=False

Whether to sort in ascending order

show_stdbool, default=False

Whether to show standard deviation columns

top_nint, default=10

Number of top models to display

show_metricsList[str], optional

Specific metrics to show. If None, shows all numeric metrics

highlight_bestbool, default=True

Whether to highlight the best performing model

figsizeTuple[int, int], default=(12, 8)

Figure size for the visualization