paper
2019
Local & station forecasting
Evaluation or intercomparison of existing models
Classical ML (trees, GP, linear, kernels) Journal
2019-01-01
004
Jan 2019
Yeturu Jahnavi
International Journal of Data Science
Compares linear regression, CART, MLP and SVM on station temperature, pressure and humidity data; no new method is proposed.
Analysis of weather data using various regression algorithms
In one sentence. Compares linear regression, CART, MLP and SVM on station temperature, pressure and humidity data; no new method is proposed.
Labels
- Topic
- Local & station forecasting
- Type
- Evaluation or intercomparison of existing models
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1504/ijds.2019.10022087 OpenAlex:W4246060532
- Added
- 2026-10-22
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