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sevvaliclal/BinaryPredictionwithaRainfallDataset

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App README

🌧️ Rainfall Prediction with Machine Learning

This project predicts rainfall occurrence using meteorological data and machine learning models.

📊 Dataset

The dataset consists of atmospheric pressure, temperature metrics, humidity, cloud coverage, sunshine duration, wind information, and engineered features.

🎯 Target

—rainfall (Binary Classification)
—0 → No Rain
—1 → Rain

🧠 Models

—Logistic Regression
—Decision Tree
—Random Forest
—Gradient Boosting
—AdaBoost
—LightGBM
—XGBoost
—CatBoost

Evaluation metric: ROC-AUC

🛠️ Feature Engineering

—Temperature difference
—Humidity & cloud interaction
—Sunshine ratios
—Wind power
—Cyclical day features

🏆 Best Model

—LightGBM (after cross-validation & hyperparameter tuning)

💾 Saved Artifacts

python

final_model.pkl        # Trained model
model_features.pkl     # Feature list