Analysis of the Relationship between National Power and Education with Machine Learning Methods

The aim of this study is to interpret the effect of education performance of countries on national power by using the index data published in the field of education with machine learning methods. A database has been prepared by making use of the studies conducted in the field of education in open sources. In the data preprocessing stage, operations related to the missing data were made and the database was made to be used in machine learning algorithms. With the study, it was ensured that 156 countries included in the calculations were divided into 5 clusters according to their educational performance. Using clustering trees, how the selected parameters are branched was analyzed.