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What is Food Price Prediction in Nigeria Using ML about?

This study aims to predict food prices in Nigeria using machine learning techniques, specifically symbolic regression, random forest, decision tree, and neural network, based on economic indicators. The findings indicate that symbolic regression outperformed other models in predicting prices for local rice, beans, and Garri in both North Central and South West Nigeria. The research recommends the use of symbolic regression for future econometric modeling and suggests further studies to explore Bayesian symb

Author

Osemwengie Samuelson

Language

EN