Predictive Analytics of Varieties of Potatoes

arXiv:2404.03701v1 Announce Type: new
Abstract: We explore the application of machine learning algorithms to predict the suitability of Russet potato clones for advancement in breeding trials. Leveraging data from manually collected trials in the state of Oregon, we investigate the potential of a wide variety of state-of-the-art binary classification models. We conduct a comprehensive analysis of the dataset that includes preprocessing, feature engineering, and imputation to address missing values. We focus on several key metrics such as accuracy, F1-score, and …

abstract advancement algorithms analytics application art arxiv binary classification cs.lg data explore leveraging data machine machine learning machine learning algorithms oregon predictive predictive analytics state stat.ml type