Nitin-Flavier13/Algerian-Forest-Fire-Prediction

Using Algerian Forest Fire dataset to predict Fire Weather index # Algerian-Forest-Fire-Prediction Using Algerian Forest Fire dataset to predict Fire Weather index (FWI) The dataset includes 244 instances that regroup a data of two regions of Algeria, namely the Bejaia region located in the northeast of Algeria and the Sidi Bel-abbes region located in the northwest of Algeria. 122 instances for each region. The period from June 2012 to September 2012. The dataset includes 11 attributes and 1 output attribute (class) The 244 instances have been classified into fire (138 classes) and not fire (106 classes) classes. DC: Drought Code index [7 to 220.4] DMC: Duff Moisture Code [1.1 to 65.9] FFMC: Fine Fuel Moisture Code [28.6 to 92.5] Rain: [0 to 16.8] mm Ws: Windspeed in km/h [6 to 29] RH: Relative Humidity [21 to 90] Temperature: [22 to 45] C year: 2012 ISI: Initial Spread Index from FWI system [0 to 18.5] BUI: Buildup Index [1.1 to 68] FWI: Fire Weather Index [0 to 31.1] Classes: Fire/Not-Fire