Hybrirank: A Dual-Axis Algorithm Ranking Framework via Dataset-Based and Preference-Guided Rank Fusion
Algorithm selection remains a challenging task due to the absence of standardized tools that support informed decision-making for identifying suitable algorithms for AI and ML tasks. It plays a crucial role in designing and deploying intelligent systems. This paper presents Hybrirank, a hybrid framework that ranks algo...