Abstract:
The findings of this study show that the most risk factors and the best appropriate supervised machine learning algorithm for predicting the food security status of the household heads identified. Risk factors became statistically significant at p<0.05. So, Intervention strategies should emphasize on risk factors and important rules as well as the C4.5 algorithm to improve the food security status of the household head
