is a decision made by a court after examining the assets and liabilities of
individuals even businesses in which they are not able to pay their bills. Due
to the importance of prevent bankruptcy to be happened in such business, a
calculation which can predict probability bankruptcy is necessary. This paper
aims to investigate probability bankruptcy using Support Vector Regression.
There are 6 variables for 2016 to 2018 period coming from 17 coal mining
companies from Indonesia. The model built by using Support Vector Regression
indicates a good performance because it has the highest coefficient of
determination compared to previous research.
JEL classification numbers: C23, C33, C63, E37, G17, G33,
Keywords: Probability Bankruptcy, Coal
Mining, Support Vector Regression, Mean Square Error, Mean Absolute Error,
Coefficient of Determination, Financial Ratio.