This study offers a novel approach to understand the mechanisms of rural entrepreneurship by applying five alternative machine learning techniques on data obtained from the Life in Transition Survey III. Results highlight how capital constraints, age, factors related to trust and over-trust, awareness of current trends, the use of various media tools, a competitive character, institutional factors, and education are associated with the success and failure of potential entrepreneurs in rural areas who attempt to set up a business. The final predictions are achieved with accuracies ranging from seventy-two to ninety-two percent.

中文翻译：

---

农村创业的机器学习方法

本研究通过对从“转型中的生活”调查 III 中获得的数据应用五种替代机器学习技术，提供了一种理解农村创业机制的新方法。结果突出了资本约束、年龄、与信任和过度信任相关的因素、对当前趋势的认识、各种媒体工具的使用、竞争特征、制度因素和教育与农村潜在企业家的成功和失败之间的关系。试图创办企业的地区。最终预测的准确率在 72% 到 92% 之间。