Forest fires have great threats to ecosystems, biodiversity, and human livelihoods, especially due to this challenge of climate change. Sustainable forest management needs the tools able to make predictions concerning fire outbreak risks according to environmental factors. Logistic regression was the process undertaken to examine and hence predict the breakouts of forest fires utilizing temperature, wind speed, humidity, and rainfall as inputs in this study.