rohan-06-eng/Algerian-Forest-Fire-Prediction

This project focuses on predicting the occurrence of fire or no-fire events in the Bejaia and Sidi Bel-Abbes regions of Algeria, based on weather data recorded from June 2012 to September 2012. The dataset includes weather attributes such as temperature, humidity, wind speed, and other fire-related indices. # Fire Prediction in Algeria Using Weather Data ## Project Overview This project focuses on predicting the occurrence of fire or no-fire events in the Bejaia and Sidi Bel-Abbes regions of Algeria, based on weather data recorded from June 2012 to September 2012. The dataset includes weather attributes such as temperature, humidity, wind speed, and other fire-related indices. The goal is to predict the likelihood of fire using various regression models. The models used for training and prediction are: - **Linear Regression** - **Lasso Regression** - **Ridge Regression** - **Elastic Net** Each of these models was tested to evaluate their performance on the dataset to predict whether a fire event occurred (fire class) or not (no-fire class). ## Dataset Information The dataset consists of 244 instances, with 122 instances from each of the two regions (Bejaia and Sidi Bel-Abbes). These instances are classified into two categories: - **Fire (138 instances)** - **Not Fire (106 instances)** ### Dataset Period - **Time Frame**: June 2012 to September 2012 - **Regions**: Bejaia (Northwest of Algeria) and Sidi Bel-Abbes ### Data Columns The dataset includes 11 weather-related attributes and 1 output attribute (Class). The attributes provide critical information for predicting fire events. The attributes are: 1. **Date**: (DD/MM/YYYY) The date of weather observation, including the day, month (June to September), and year (2012). 2. **Temp**: The noon temperature (maximum temperature) in Celsius degrees, ranging from 22°C to 42°C. 3. **RH**: Relative Humidity in percentage, ranging from 21% to 90%. 4. **Ws**: Wind speed in km/h, ranging from 6 km/h to 29 km/h. 5. **Rain**: Total rainfall in mm, ranging from 0 mm to 16.8 mm. 6. **Fine Fuel Moisture Code (FFMC)**: Index from the Fire Weather Index (FWI) system, ranging from 28.6 to 92.5. 7. **Duff Moisture Code (DMC)**: Index from the FWI system, ranging from 1.1 to 65.9. 8. **Drought Code (DC)**: Index from the FWI system …