Hybrirank: A Dual-Axis Algorithm Ranking Framework via Dataset-Based and Preference-Guided Rank Fusion
Hybrirank is a hybrid framework that ranks algorithms by integrating two components, dataset-based benchmarking module that evaluates performance on varied domain-specific datasets using standard metrics, and a user preference modeling module that captures user-defined priorities through structured input.