A grid-search-tuned ensemble framework with new temperature and humidity difference features claims 93.8% accuracy for next-day rainfall prediction, but the evaluation may be optimistically biased by target-informed preprocessing.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
RAINER: A Robust Ensemble Learning Grid Search-Tuned Framework for Rainfall Patterns Prediction
A grid-search-tuned ensemble framework with new temperature and humidity difference features claims 93.8% accuracy for next-day rainfall prediction, but the evaluation may be optimistically biased by target-informed preprocessing.