Abstract:

In addition to the financial failure that threatens the future of, the increase in the number of failure will also have a negative impact on the country’s economic growth. It is possible to count many internal and external factors that affect financial failure. Predicting failure in advance and taking measures as a result and getting rid of the trouble is vital for. Many models have been developed to predict financial failure. These models are more statistical techniques and artificial intelligence techniques. This study also used artificial nerve networks and support vector machines from artificial intelligence techniques. The performance of the models used is also measured with ROC curves. In the study, the performance of the two models was compared, the accuracy percentage of the classification was calculated.

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