paper
2018
Observations & remote sensing
New model or method
Classical ML (trees, GP, linear, kernels) Journal
2018-12-30
008
Dec 2018
Lucas O. Bayma, Marconi de Arruda Pereira
Journal of Information and Data Management
Compares neural networks, bagged trees and random forest for filling missing station climate records in Minas Gerais, Brazil; random forest performs best.
Identifying Finest Machine Learning Algorithm for Climate Data Imputation in the State of Minas Gerais, Brazil
In one sentence. Compares neural networks, bagged trees and random forest for filling missing station climate records in Minas Gerais, Brazil; random forest performs best.
Labels
- Topic
- Observations & remote sensing
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Regional
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.5753/jidm.2018.2044 OpenAlex:W3091610863
- Added
- 2026-10-22
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