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Gathering meta-data from public repositories

Grant number: 23/03958-2
Support Opportunities:Scholarships in Brazil - Scientific Initiation
Effective date (Start): April 01, 2023
Effective date (End): March 31, 2024
Field of knowledge:Physical Sciences and Mathematics - Computer Science
Principal Investigator:Ana Carolina Lorena
Grantee:Nathan Falcão Carvalho
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


The OpenML repository is widely employed by the Machine Learning (ML) community, storing a large number of datasets along with the results of computational experiments run on the same data. The objective of this work is to generate a meta-dataset in the attribute-value format joining the characteristics of the OpenML datasets and also the performance achieved by different ML techniques in their solution, in order to support meta-learning tasks. For such, the Python API associated with the repository will be explored and used.

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