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atul-aiml/algerian_forest_fires_fwi_prediction

Domaine:

environment and energy

Type de record:

dataset
Créateur:
atu
Hôte:
Predicting Fire Weather Index using Ridge/Lasso/ElasticNet regression # Algerian Forest Fires – Fire Weather Index (FWI) Prediction Regression project that predicts the **Fire Weather Index (FWI)** for forest fires in Algeria using weather and fire-behavior data, with a full pipeline from data cleaning to model selection. ## 📊 Dataset The dataset regroups **244 instances** from two regions of Algeria: - **Bejaia region** (northeast Algeria) — 122 instances - **Sidi Bel-abbes region** (northwest Algeria) — 122 instances Data covers **June to September 2012**. Each instance includes weather observations (temperature, relative humidity, wind speed, rain) and fire weather indices calculated from the Canadian FWI System (FFMC, DMC, DC, ISI, BUI, FWI), plus a fire/not-fire classification label. **Files:** - `Algerian_forest_fires_dataset_UPDATE.csv` — raw/original dataset - `Algerian_forest_fires_cleaned_dataset.csv` — cleaned dataset used for modeling ## 🎯 Objective Predict the **FWI (Fire Weather Index)** — a continuous score indicating fire intensity risk — using the other weather and fire-index features. ## 🛠️ Workflow 1. **Data Cleaning** (`Ridge__Lasso_Regression.ipynb`) - Merged and cleaned two-region dataset - Handled missing values, fixed column types - Added a `Region` indicator column - Encoded the `Classes` target (fire / not fire) 2. **Exploratory Data Analysis** - Class distribution analysis - Correlation heatmaps to detect multicollinearity 3. **Feature Engineering** (`Model_Training.ipynb`) - Dropped date columns (day/month/year) - Removed highly correlated features (threshold > 0.85) - Standardized features using `StandardScaler` 4. **Modeling** - Linear Regression (baseline) - Lasso Regression + LassoCV (cross-validated) - Ridge Regression + RidgeCV (cross-validated) - ElasticNet Regression + ElasticNetCV (cross-validated) - Evaluated using **MAE** and **R² Score** ## 📁 Repository Structure ``` ├── Algerian_forest_fires_dataset_UPDATE.csv ├── Algerian_forest_fires_cleaned_dataset.csv ├── Ridge__Lasso_Regressi …

Visit

github.com

Languages

Arabic, Algerian Spoken

Tags

forest-fire-predictionmachine-learningregressionscikit-learn

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