tabensemb.utils.ranking.avg_rank#

tabensemb.utils.ranking.avg_rank(dfs: List[DataFrame])[source]#

Calculate average rankings for all models in all model bases based on leaderboards from multiple executions.

Parameters:
dfs

A list of leaderboards from multiple executions.

Returns:
pd.DataFrame

A leaderboard of average ranking of multiple executions.