KUNCHE-VEERA-VENKATA-SAI-KARTHIK/Algerian_forest_fire-Analysis

Linear regression based prediction # Algeria Forest Fires Dataset ## Overview The dataset contains **244 instances** of forest fire occurrences from two regions in Algeria: - **Bejaia Region** (Northeast Algeria) - **Sidi Bel-abbes Region** (Northwest Algeria) Each region contributes **122 instances**, covering the period **June 2012 to September 2012**. The dataset includes **11 attributes** along with **1 output class** that categorizes each instance as either **Fire (138 instances)** or **Not Fire (106 instances)**. ## Attribute Information ### **Date & Weather Observations** - **Date**: (DD/MM/YYYY) - Ranges from June 2012 to September 2012 - **Temp**: Maximum temperature at noon (°C) - Range: `22 to 42` - **RH**: Relative Humidity (%) - Range: `21 to 90` - **Ws**: Wind speed (km/h) - Range: `6 to 29` - **Rain**: Total rainfall in mm - Range: `0 to 16.8` ### **Fire Weather Index (FWI) System Components** - **FFMC**: Fine Fuel Moisture Code - Range: `28.6 to 92.5` - **DMC**: Duff Moisture Code - Range: `1.1 to 65.9` - **DC**: Drought Code - Range: `7 to 220.4` - **ISI**: Initial Spread Index - Range: `0 to 18.5` - **BUI**: Buildup Index - Range: `1.1 to 68` - **FWI**: Fire Weather Index - Range: `0 to 31.1` ### **Output Class** - **Fire**: 138 instances - **Not Fire**: 106 instances ## Usage This dataset can be used for: - **Predicting forest fire occurrences** based on weather conditions. - **Developing machine learning models** for fire risk assessment. - **Analyzing weather patterns** leading to fire incidents.