A Comparative Analysis of Lumpy Skin Disease Prediction Through Machine Learning Approaches

Abstract

Lumpy Skin Disease is a highly infectious, fatal illness that is commonly observed in cattle. The common symptoms of this disease are fever, infertility, reduced milk production, and so on. Furthermore, the mortality rate of cattle infected by Lumpy Skin Disease is quite low, hence predicting the outcome of this disease earlier can reduce economic loss significantly. This research was conducted to predict if cattle are infected with Lumpy Skin Disease or not with the use of various machine learning models. A total of ten machine learning classifiers have been used and evaluation metrics were calculated for determining how well the classifiers have performed. Among all the classifiers, Random Forest Classifier and Light Gradient Boosted Machine Classifier have outperformed the other models with the F1 score of 98%.