ISSN:2149-0821

PREDICTION OF ECONOMIC FREEDOM CATEGORIES OF OECD COUNTRIES USING THE K-NEAREST NEIGHBOR ALGORITHM


The aim of this study is to predict 2017 economic freedom index categories of 36 OECD countries including Turkey by the help of k-nearest neighbor algorithm using the data for 2016. For this purpose, four basic macro-economic indicators (import, export, unemployment and inflation) and economic freedom scores were used. In other words, with the help of analysis implemented with these variables, the economic freedom categories of 36 OECD countries were predicted for the year 2017. In this study, which uses one of the classification methods, the k-NN algorithm, evaluations were made on different k values. The most important findings of this study are; for each k value, the algorithm predicted correctly for seven countries among 36 OECD countries and the algorithm predict incorrectly for two countries.


Keywords


OECD, Import, Export, Unemployment, Inflation, Economic Freedom, K-Nearest Neighbor

Author : Ergin DEVECİ - Çiğdem ÖZARI
Number of pages: 577-590
DOI: http://dx.doi.org/10.29228/SOBIDER.41686
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The Journal of Social Sciences
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