Classification Based on Decision Tree Algorithm for Machine Learning

Decision tree classifiers are regarded to be a standout of the most well-known methods data classification representation classifiers. Different researchers from various fields and backgrounds have considered problem extending decision available data, such as machine study, pattern recognition, statistics. In medical disease analysis, text classification, user smartphone images, many more employment has been proposed in ways. This paper provides detailed approach trees. Furthermore, specifics, algorithms/approaches used, datasets, outcomes achieved, evaluated outlined comprehensively. addition, all approaches analyzed were discussed illustrate themes authors identify accurate As result, uses different types datasets their findings analyzed.