Читать книгу Fundamentals and Methods of Machine and Deep Learning - Pradeep Singh - Страница 44

This chapter provides introduction to zonotic diseases, symptoms, challenges, and causes. Ensemble machine learning uses multiple machine learning algorithms to identify the zonotic diseases in early stage itself. Detailed analysis of some of the potential ensemble machine learning algorithms, i.e., Bayes optimal classifier, bootstrap aggregating (bagging), boosting, BMA, Bayesian model combination, bucket of models, and stacking are discussed with respective architecture, advantages, and application areas. From the analysis, it is observed that the efficiency achieved by Bayesian model combination, stacking, and Bayesian model combination are high compared to other ensemble models considered for identification of zonotic diseases.