Explainable AI Integrated Feature Engineering for Wildfire Prediction

arXiv:2404.01487v1 Announce Type: new
Abstract: Wildfires present intricate challenges for prediction, necessitating the use of sophisticated machine learning techniques for effective modeling\cite{jain2020review}. In our research, we conducted a thorough assessment of various machine learning algorithms for both classification and regression tasks relevant to predicting wildfires. We found that for classifying different types or stages of wildfires, the XGBoost model outperformed others in terms of accuracy and robustness. Meanwhile, the Random Forest regression model showed superior results in predicting the extent …

abstract algorithms arxiv assessment challenges classification cs.lg engineering explainable ai feature feature engineering found machine machine learning machine learning algorithms machine learning techniques modeling prediction regression research tasks type types wildfire wildfires