Aiming at the complexity of coal spontaneous combustion prediction, a hierarchical prediction model based on multi-objective genetic NSGA-II optimized random forest algorithm was established to classify the coal spontaneous combustion temperature class by multi-indicator gases, and the coal spontaneous combustion temperature class by multi-indicator gas concentration. In this paper, CO, CO