Abstract
ESD is an acronym for Erythemato-Squamous Diseases, which is a set of six skin diseases [6]. The Erythemato-Squamous Diseases (ESDs) require huge computational efforts to predict the diseases because all the six diseases studied in this group have more than 90% common features.The main focus of this paper is to study the use of machine learning algorithms in R software for prediction of ESD Diseases. In this paper, different algorithms are studied and implemented in R. Accuracy of these algorithms is compared.
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