This study investigates the factors influencing armed conflict risk in Sub-Saharan Africa, the Middle East, and South Asia using a machine learning approach. The analysis reveals a growing impact of climatic conditions on conflict risk over the past decades, varying regionally. The study also identifies distinct Climatic-Social-Geographical (C-S-G) patterns characterizing armed conflict risks across these regions, highlighting the need for region-specific conflict prevention strategies.