COMPARATIVE EVALUATION OF MACHINE LEARNING AND DEEP LEARNING MODELS FOR WEATHER PREDICTION IN NIGERIA USING SPATIAL ANALYSIS
Accurate prediction of meteorological variables is essential for agricultural planning, disaster risk reduction, water resource management, and climate adaptation in Nigeria, where substantial climatic variability exists across diverse ecological zones. This study presents a comparative evaluation of machine learning,...