Role of Personal Characteristics on Marriage Strike in Thailand: An Investigation Through Artificial Intelligence by Random Forest Model

Abstract

The interplay between globalization and shifts in population behavior has a direct and substantial impact on the replacement rate of population structures. As a result, all nations are currently transitioning toward aging societies. To effectively address long-term issues, it is essential for both the public and private sectors to collaborate in the development of suitable welfare support. In addition to external circumstances, individual traits also have a significant impact on effectively driving policy implementation. This study examines the influence of personal characteristics on marriage strike or the tendency to remain unmarried in Thailand. Data was collected through purposive sampling, which includes workers, aged at least 30 years old who hold single status, with a total sample size of 64 respondents. The data was analyzed using descriptive statistics to summarize the sample profile, as well as using the artificial intel ligence model by employing random forest regression to investigate key influencing factors and important predictors of marriage strike. These findings aim to optimize the effectiveness of both private and government welfare policies. The study results demonstrate that the optimal data allocation ratio for the AI model was 70:30, yielding a high prediction accuracy of 91.20 percent. Moreover, the model indicated that personal characteristics are associated with marriage strike, particularly among workers who exhibit strong adherence to rules, rigidity in daily life, and a preference for structure and fairness, making them more likely to remain single or married later in life.