Technological incident classification model from a machine learning approach in insurance services
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| Format: | Artículo científico |
| Language: | en |
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Universidad Nacional de Colombia
2022
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| _version_ | 1876487148823117824 |
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| author | Paola Andrea Gómez-Jaramillo |
| author_facet | Paola Andrea Gómez-Jaramillo |
| contents | Technological incident classification model from a machine learning approach in insurance services Paola Andrea Gómez-Jaramillo Favián González-Echavarría Jorge Iván Pérez-Rave Ingeniería insurance machine learning technology incidents Classification of incidents Managing technological incidents in insurance companies requires a correct and timely assignment of these to the problem-solving teams. Classifying these incidents by humans demands time and knowledge and is frequently executed erroneously. This paper addresses this classification problem from a machine learning approach. The performance of five supervised learning methods (logistic regression, classification trees, random forest, discriminant linear analysis, support vector machines) is compared in three scenarios of inclusion of predictors: structured, texts, and both. The use of unstructured variables considerably improves the accuracy of the models (e.g., Random Forest, validation sample: 0.709 using structured data; 0.881 using text data). Moreover, considering the practical implications of the human correct classification rate (66%) vs. machine (88%, Random Forest, SVM, or linear regression), the machine favors resource-saving in the organization. This article is a successful case of machine learning in the insurance industry. 2022 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49672735018 https://www.redalyc.org/journal/496/49672735018/ https://www.redalyc.org/journal/496/49672735018/html/ https://www.redalyc.org/journal/496/49672735018/49672735018.epub https://www.redalyc.org/journal/496/49672735018/movil 10.15446/dyna.v89n221.100070 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.221 Vol.89 |
| format | Artículo científico |
| id | redalyc_49672735018 |
| institution | Redalyc |
| language | en |
| publishDate | 2022 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Technological incident classification model from a machine learning approach in insurance services Paola Andrea Gómez-Jaramillo Ingeniería insurance machine learning technology incidents Classification of incidents Technological incident classification model from a machine learning approach in insurance services Paola Andrea Gómez-Jaramillo Favián González-Echavarría Jorge Iván Pérez-Rave Ingeniería insurance machine learning technology incidents Classification of incidents Managing technological incidents in insurance companies requires a correct and timely assignment of these to the problem-solving teams. Classifying these incidents by humans demands time and knowledge and is frequently executed erroneously. This paper addresses this classification problem from a machine learning approach. The performance of five supervised learning methods (logistic regression, classification trees, random forest, discriminant linear analysis, support vector machines) is compared in three scenarios of inclusion of predictors: structured, texts, and both. The use of unstructured variables considerably improves the accuracy of the models (e.g., Random Forest, validation sample: 0.709 using structured data; 0.881 using text data). Moreover, considering the practical implications of the human correct classification rate (66%) vs. machine (88%, Random Forest, SVM, or linear regression), the machine favors resource-saving in the organization. This article is a successful case of machine learning in the insurance industry. 2022 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49672735018 https://www.redalyc.org/journal/496/49672735018/ https://www.redalyc.org/journal/496/49672735018/html/ https://www.redalyc.org/journal/496/49672735018/49672735018.epub https://www.redalyc.org/journal/496/49672735018/movil 10.15446/dyna.v89n221.100070 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.221 Vol.89 |
| title | Technological incident classification model from a machine learning approach in insurance services |
| topic | Ingeniería insurance machine learning technology incidents Classification of incidents |
| url | https://www.redalyc.org/articulo.oa?id=49672735018 https://www.redalyc.org/journal/496/49672735018/ https://www.redalyc.org/journal/496/49672735018/html/ https://www.redalyc.org/journal/496/49672735018/49672735018.epub https://www.redalyc.org/journal/496/49672735018/movil |