Application of Ensembies of Classification Trees to Predict the Yieid of the US Stock Market

Student: Polischuk Georgiy

Supervisor: Mikhail Kamrotov

Faculty: Faculty of World Economy and International Affairs

Educational Programme: World Economy (Bachelor)

Final Grade: 9

Year of Graduation: 2016

In the paper the author examines the application of machine learning methods for predicting quotes of the company Apple. A study of various tools, the ways of its application, as well as performance based on the works of other authors is a part of the paper. Article formulated and practically implemented model of ensembles of classification trees. I was studied main quality characteristics of the practical model. The author concludes that the possibility of using modeling method to forecast quotes changes.

Full text (added May 12, 2016)

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