gradient boosting

from sklearn.ensemble import GradientBoostingClassifier

# Train a gradient boosting classifier
gb = GradientBoostingClassifier(n_estimators=100, random_state=42)
gb.fit(X_train, y_train)

# Make predictions
gb_pred = gb.predict(X_test)

# Calculate accuracy
gb_acc = accuracy_score(y_test, gb_pred)

print(f"Gradient Boosting Accuracy: {gb_acc:.2f}")