Algorithms for Predicting Using Machine Learning: Evaluation and Comparison of Machine Learning Algorithms for Predictive Analytics

Abstract

Given the vast amount of real-world statistics that are easily accessible and the growingpopularity of analytics, selecting the best prediction algorithm is crucial. Even though there are anumber of forecasting models that are regularly used for predictive analytics, it may be challenging todecide which algorithm is optimal for a certain real-world dataset research topic. The three most wellknownmachine learning and predictive analytics algorithms are discussed in this article in addition tothe implementation outcomes on real datasets. These algorithms were evaluated and compared usingperformance comparison metrics such time training, accuracy, sensitivity, specificity, accuracy, the areaunder the curve and error.