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"""
Gradient Boosting Classifier setup.
Features:
- Uses `GradientBoostingClassifier`.
- Great for binary and multi-class tasks.
- Default scoring: 'accuracy'.
"""
from sklearn.ensemble import GradientBoostingClassifier
estimator = GradientBoostingClassifier(random_state=42)
param_grid = {
'model__n_estimators': [100],
'model__learning_rate': [0.01, 0.1],
'model__max_depth': [3],
# Preprocessing params
#'preprocessor__num__imputer__strategy': ['mean','median'],
#'preprocessor__num__scaler__with_mean': [True,False],
#'preprocessor__num__scaler__with_std': [True,False],
}
default_scoring = 'accuracy'
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