paper
2023
Local & station forecasting
Explainability, uncertainty & physics New model or method
Classical ML (trees, GP, linear, kernels)6 h–3 days Other
2023-01-20
004
Jan 2023
Isaac Kega, Lawrence Nderu, Ronald Waweru Mwangi et al.
preprint
A rough-set feature-interaction method feeds a generalized linear model for interpretable station weather prediction at one Kenyan farm station.
MODEL INTERPRETABILITY VIA INTERACTION FEATURE DETECTION USING ROUGHSET IN A GENERALIZED LINEAR MODEL FOR WEATHER PREDICTION IN KENYA.
In one sentence. A rough-set feature-interaction method feeds a generalized linear model for interpretable station weather prediction at one Kenyan farm station.
Labels
- Topic
- Local & station forecasting, Explainability, uncertainty & physics
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.22541/au.167425256.66042780/v1 OpenAlex:W4317602522
- Added
- 2026-10-22
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