首页|Reports from University of Trento Describe Recent Advances in Machine Learning (Machine Learning Techniques for Default Prediction: an Application To Small Italian Companies)
Reports from University of Trento Describe Recent Advances in Machine Learning (Machine Learning Techniques for Default Prediction: an Application To Small Italian Companies)
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Springer Nature
Data detailed on Machine Learning have been presented. According to news reporting out of Trento, Italy, by NewsRx editors, research stated, “Default prediction is the primary goal of credit risk management. This problem has long been tackled using well-established statistical classification models.” Financial support for this research came from We would like to thank the associate editor and an anonymous reviewer for valuable comments that have considerably improved a preliminary version of the paper.. Our news journalists obtained a quote from the research from the University of Trento, “Still, nowadays, the availability of large datasets and cheap software implementations makes it possible to employ machine learning techniques. This paper uses a large sample of small Italian companies to compare the performance of various machine learning classifiers and a more traditional logistic regression approach. In particular, we perform feature selection, use the algorithms for default prediction, evaluate their accuracy, and find a more suitable threshold as a function of sensitivity and specificity. Our outcomes suggest that machine learning is slightly better than logistic regression.”
TrentoItalyEuropeCyborgsEmerging TechnologiesMachine LearningUniversity of Trento
NETL
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Springer Nature
