Supervised Learning Algorithms Evaluation on Sweet Potato Data for Production Indices Considering Human Consumption

The sweet potato holds significant importance as a root crop cultivated globally, serving purposes in both human and animal nutrition, ethanol fuel production, and ornamental cultivation. Several genetic experiments have been undertaken to identify superior root varieties. Within this study, a refined statistical methodology has been devised to mitigate environmental factors and promote equitable comparisons among diverse varieties. Through the integration of supplementary environmental data into the experimental framework, a deeper understanding of each variety can be attained. This research signifies an inaugural endeavor towards scrutinizing post-harvest sweet potato data, aiming to unveil novel insights.