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Using the following 4 Methods: (1) Support Vector Regression, (2) Decision Trees, (3) Random Forest, (4) 3-layer dense Neural Network , I will try to show the relative performance of each method to predict forest fires from the dataset available at the UCI Machine Learning Repository