| 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 |
Abstract 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. | |
| News published in Agência FAPESP Newsletter about the scholarship: | |
| TITULO | |
| Articles published in other media outlets (0 total): | |
| More itemsLess items | |
| VEICULO: TITULO (DATA) | |
| VEICULO: TITULO (DATA) | |