Paper Title
Using the Machine Learning Techniques in Financial Estimation: A Study on Public Hospitals in Turkey

Abstract
This study aims to compare the success of machine learning techniques in financial estimation. For this purpose, the financial statements of 928 public hospitals in Turkey between the years 2008-2018 have been consolidated and analyzed. Machine learning techniques used in the analysis are; neural networks, support vector machines, simple linear regression, and M5P tree algorithms. As a result of the analysis, neural networks, support vector machines and simple linear regression techniques showed high estimation success. The estimation success of M5P tree algorithms was lower than other techniques. As a result of the research, it was concluded that support vector machines technique can be used effectively in financial estimation. Keywords - Financial Estimation, Machine Learning, Public Hospitals