mudasiryasin/gradient-boosting-model

🔁 Gradient Boosting Regressor

Trained using Scikit-learn's Gradient Boosting Regressor. Performs sequential boosting to improve performance iteratively. Trained to predict crop yield based on climate features.

📦 File

• gradient_boosting_model.pkl

🧠 Use Case

Effective for handling complex relationships and interactions in moderate-sized datasets.

⚙️ Model Info

• Estimator: GradientBoostingRegressor
• Loss: Squared Error
• Learning Rate: Default

📊 Performance

• RMSE: 21465.13
• MAE: 13028.23
• R² Score: 0.93
• MAPE: 30.02%

💡 Usage

import joblib
model = joblib.load("gradient_boosting_model.pkl")
y_pred = model.predict(X_test)