Система підтримання прийняття рішень для оцінювання та прогнозування стану страхової компанії
The decision support system was created for estimating and forecasting the state of an insurance company according to its financial and economic indicators. The task of estimating the state of this type of an institution was considered as a problem of a binary classification: whether the company’s a...
Збережено в:
| Дата: | 2022 |
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| Автор: | |
| Формат: | Стаття |
| Мова: | Українська |
| Опубліковано: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2022
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| Теми: | |
| Онлайн доступ: | http://journal.iasa.kpi.ua/article/view/259157 |
| Теги: |
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| Назва журналу: | System research and information technologies |
Репозитарії
System research and information technologies| Резюме: | The decision support system was created for estimating and forecasting the state of an insurance company according to its financial and economic indicators. The task of estimating the state of this type of an institution was considered as a problem of a binary classification: whether the company’s activity is efficient or not. During the research, six supervised machine learning methods were implemented: k-nearest neighbors, support vector machine, naive Bayes classifier, random forest, XGBoost and deep neural network. The created system allows the following: to perform correlation analysis of financial and economic indicators, to check the balance of data, to perform training of the selected model and to estimate quality of training, to predict the state of the insurance company according to the selected model. According to the best model, the future state of insurance companies in Ukraine was predicted. |
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