Prediction of Oil Consumption and Oil Access of Countries in The European Union Region with Machine Learning

Depending on the pandemic process, there are some problems around world. One of them is problem fuel consumption and access to fuel. As a result breakdowns in supply chains, accessibility processes for oil have changed. Accordingly, it great importance that future production, consumption, can be predicted by methods. Artificial intelligence stands out as tool used this prediction. In current studies, artificial often predictive purposes. study, tried predict change European Union region candidate countries. Decision trees, Naive Bayes, Support vector machines, K nearest neighbor (KNN), Ensemble Boosted trees were methods from supervised unsupervised machine learning approaches. different test parameters used, estimation successes observed, results reported.