import catboost as cb
import numpy as np

# Loading Databulance Alpha-Set
params = {
  ‘depth’: 6,
  ‘loss_function’: ‘Logloss’,
  ‘l2_leaf_reg’: 3,
  ‘iterations’: 2000
}

model = cb.CatBoostClassifier(**params)
model.fit(X_train, y_train, eval_set=(X_test, y_test))

# Real-time feature extraction
features = model.get_feature_importance()
print(f”Optimization Complete: {model.best_score_}”)
return model.predict(X_new_data)