Gathering meta-data from competitions

• Grant number: 23/04911-0
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: May 01, 2023
• End date: July 31, 2024
• Field of knowledge: Physical Sciences and Mathematics - Computer Science
• Principal Investigator: Ana Carolina Lorena
• Grantee: André Andrade Gonçalves
• Host Institution: Divisão de Ciência da Computação (IEC). Instituto Tecnológico de Aeronáutica (ITA). Ministério da Defesa (Brasil). São José dos Campos , SP, Brazil
• Associated research grant: 21/06870-3 - Beyond algorithm selection: meta-learning for data and algorithm analysis and understanding, AP.JP2
• Associated scholarship(s): 23/11800-0 - Harnessing data diversity: bridging Kaggle and OpenML repositories, BE.EP.IC

Abstract

On-line platforms such as Kaggle have been used by companies to launch data analytics challenges. The objective of this work is to generate a meta-dataset in the attribute-value format which gathers characteristics of datasets from some of the competitions and also the performance achieved by a set of techniques in their solution. Finally, the difficulty level of the challenges will be assessed by some dedicated meta-features.