The diploma thesis focuses on the application of Support vector machines (SVM) in the area of bankruptcy prediction. Theoretical research deals with the overview of the passenger transport industry in the EU for each mode of transport individually. Potential causes of bankruptcy in the researched industry are presented based on real examples. Empirical analysis examines the accuracy of SVM classifier with different types of kernels and compares its prediction force with the logistic regression model. In the end, obtained results are summarized, commented on in economic terms and discussed with selected studies.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:429161 |
| Date | January 2019 |
| Creators | Čarnogurská, Anna |
| Source Sets | Czech ETDs |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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