Paper Title
Using The Machine Learning Techniques in Financial Estimation: A Study for Small and Medium Sized Enterprises (SMEs)

Abstract
This study aims to compare the success of machine learning techniques in financial estimation of SMEs financial statements.We can define machine learning (ML) as a subset of data science that uses statistical models to draw insights and make predictions. In the study, we focus on machine learning.Data scientists train machine learning models with existing datasets and then apply well-trained models to real-life situations for SMEs. Financial companies should take advantage of this technology for financial estimation of budgets and financial statements. Machine learning can help to make better financial decisions for SMEs. 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 research, it was concluded that machine learning techniques can be used effectively in financial estimation. Keywords - Machine learning techniques, Financial Estimation, Small and Medium Sized Enterprises (SMEs),Waikato Information Analysis Environment (WEKA).