Analyzing and Predicting of Global Terrorism Attacks Based on Machine Learning Alor Kuol Chol Mayom, YE Shiren* Abstract Terrorism poses a complex and pervasive threat to global security and sustainable development. Over 200,000 terrorist attacks have been documented since 1970, resulting in significant human casualties, extensive property damage, and widespread