Download PDFOpen PDF in browserPrediction of Forest Fires Using Logistic RegressionEasyChair Preprint 990111 pages•Date: March 31, 2023AbstractAn important aspect of managing forest fires is forest fire prediction. It is crucial to efforts for resource allocation, mitigation, and recovery. In this essay, machine learning-based strategies for predicting forest fires are described and analysed. The research innovative logistic regression-based forest fire risk prediction system is presented. The system uses historical weather data to forecast the likelihood of a fire on a given day. Through the use of historical data, a correlation between forest fire producing elements and forest fire occurrence is being established in this study project. We can find out when there is a high risk of forest fires by using the system, and forest guards can pay particular attention to preventing forest fires at those times. Keyphrases: Weather, forest fire, historical data, logistic regression, machine learning, prediction
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