문제 정의

• So the world wide research is underway in many universities, companies and research facilities. The researches are related to the supervised and unsupervised learning methods as well as the field of the deep learning. Some methods classifies network of given patterns is a form of learning from observation.
• After a better understanding of the strengths and limitations of each method, the possibility of integrating two or more algorithms together to solve a problem should be investigated. The objective is to utilize the strengths of one method to complement the weaknesses of another. If we are only interested in the best possible classification accuracy, it might be difficult or impossible to find a single classifier that performs as well as a good ensemble of classifiers[4-5].
• The Decision Tree Classifier is a non-parametric supervised learning method used for classification and regression. The goal is to create a model that predicts the value of a target variable by learning simple decision rules inferred from the data features.