Swadhin-203/FWI_prediction

Machine Learning Project for FWI prediction of Algerian Forest Fires Dataset # FWI_prediction Machine Learning Project for FWI prediction of Algerian Forest Fires Dataset Algerian Forest Fires Dataset Data Set Information: 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 attribues and 1 output attribue (class) The 244 instances have been classified into fire(138 classes) and not fire (106 classes) classes. Attribute Information: Date : (DD/MM/YYYY) Day, month ('june' to 'september'), year (2012) Weather data observations Temp : temperature noon (temperature max) in Celsius degrees: 22 to 42 RH : Relative Humidity in %: 21 to 90 Ws :Wind speed in km/h: 6 to 29 Rain: total day in mm: 0 to 16.8 FWI Components Fine Fuel Moisture Code (FFMC) index from the FWI system: 28.6 to 92.5 Duff Moisture Code (DMC) index from the FWI system: 1.1 to 65.9 Drought Code (DC) index from the FWI system: 7 to 220.4 Initial Spread Index (ISI) index from the FWI system: 0 to 18.5 Buildup Index (BUI) index from the FWI system: 1.1 to 68 Fire Weather Index (FWI) Index: 0 to 31.1 Classes: two classes, namely Fire and not Fire