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omee-an/Supervised_learning_models

Domaine:

environment and energyclimate

Type de record:

projectmodel
Créateur:
ome
Hôte:
Algerian Forest Fires — Fire Weather Index Prediction This project applies supervised machine learning regression techniques to predict the Fire Weather Index (FWI) — a standardized measure of fire intensity derived from the Canadian Forest Fire Weather Index System — using meteorological observations collected across two Algerian regions. # Algerian Forest Fires — FWI Prediction using Regression Models A machine learning project that predicts the **Fire Weather Index (FWI)** from meteorological and FWI system component data collected across two regions of Algeria. The project covers end-to-end data preprocessing, exploratory analysis, feature selection, and a full comparison of four regression models with cross-validation. --- ## Table of Contents - Overview - Dataset - Project Structure - Installation - Workflow - 1. Data Loading - 2. Data Cleaning - 3. Exploratory Data Analysis - 4. Feature Engineering & Selection - 5. Standardization - 6. Model Training - 7. Cross-Validation - Models - Results - Cross-Validation Results - Key Findings - Technologies Used --- ## Overview The Fire Weather Index (FWI) is a numeric rating of fire intensity — a key output of the Canadian Forest Fire Weather Index System. This project predicts FWI from weather observations (temperature, humidity, wind, rain) and intermediate FWI components (FFMC, DMC, DC, ISI, BUI) collected across the **Bejaia** and **Sidi Bel-abbes** regions of Algeria from June to September 2012. --- ## Dataset **File:** `Algerian_forest_fires_dataset_UPDATE.csv` **Cleaned output:** `cleaned_data.csv` **Records:** 243 (after cleaning) **Coverage:** June–September 2012, two Algerian regions | # | Feature | Description | Range | |---|---|---|---| | 1 | Date | Day/Month/Year | Jun–Sep 2012 | | 2 | Temperature | Max noon temperature (°C) | 22–42 | | 3 | RH | Relative Humidity (%) | 21–90 | | 4 | Ws | Wind speed (km/h) | 6–29 | | 5 | Rain | Total daily rainfall (mm) | 0–16.8 | | 6 | FFMC | Fine Fuel Moisture Code | 28.6–92.5 | | 7 | DMC | Duff Moisture Code | 1.1–65.9 | | 8 | DC | Drought Code | 7–220.4 | | 9 | ISI | Initial Spread Index | 0–18.5 | | 10 | BUI | Buildup Index | 1.1–68 | | 11 | **FWI** | **Fire Weather Index (Target)** | 0–31.1 | | 12 | Classes | Fire / Not Fire | Binary | | 13 | Region | Bejaia (0) / Sidi Bel-abbes (1) | Binary …