The model was trained on 444 features and gives result on such data, but feature importance contains only 443 features

train_data.shape
(660000, 444)

preds = best_model.predict(train_data)
preds.shape
(660000, )


feature_importance_catboost2 = best_model.get_feature_importance(type=EFstrType.FeatureImportance, 
                   prettified=True, 
                   thread_count=-1, 
                   verbose=True)
feature_importance_catboost2.shape
(443, 2)