AsifIkbal1/Algerian-Forest-Fires-Prediction---Regressions

Algerian Forest Fires Prediction - Regressions # Algerian-Forest-Fires-Prediction---Regressions Algerian Forest Fires Prediction - Regressions ## Problem statement The problem we aim to solve here is predicting the Fire Weather Index (FWI) for the Bejaia and Sidi Bel-abbes regions in Algeria. The FWI is an important measure of fire danger, which indicates the likelihood of forest fires based on weather conditions. By using regression algorithms, we want to build a mathematical model that can understand how different weather factors (like temperature, humidity, wind speed, and rain) and FWI components (FFMC, DMC, DC, ISI, BUI) influence the FWI. To achieve this, we will use the available historical data to train the regression models. This data contains information about weather conditions and corresponding FWI values for various days from June to September in 2012. Once the models are trained, we can use them to make predictions about the FWI for future dates based on the expected weather conditions. The ultimate aim is to have accurate models that can help us predict the Fire Weather Index, which can be valuable for fire management and prevention strategies in these regions of Algeria. ## Dataset 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. Dataset columns: **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)** in …