Proceedings of the 6th International Conference on Social Sciences, Humanities and Arts
Year: 2024
DOI:
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The Random Forest Method as a Tool for Identifying Socioeconomic Factors Influencing the Occurrnce of Crisis Situations
Jozef Surkovský
ABSTRACT:
The Random Forest method is considered a powerful and highly effective tool in the field of data analysis. In this context, its application can also be considered for identifying socioeconomic factors that may significantly contribute to the occurrence of crisis situations. In crisis management, it is essential to understand the complex relationships between various factors influencing crises, including socioeconomic ones. Their impact on human society has been growing in recent years and is becoming crucial. In this regard, better prediction of crisis situations could be achieved through the evaluation using the Random Forest method, which would simultaneously minimize their impact on society. The Random Forest method allows us to identify complex interactions between the variables of socioeconomic factors. It is relevant to the issue of evaluating the emergence of crisis situations resulting from socioeconomic instability in the monitored area. The results show that socioeconomic factors have a real statistically significant impact on crisis prediction and improve the accuracy of forecasts. This study offers a new perspective on the use of socioeconomic data in crisis management. Combined with the advanced Random Forest algorithm, it enhances the level of prevention of the negative impacts of socioeconomic factors on society.
keywords: crisis management, crisis prediction, data analysis, prevention strategies, socioeconomic instability