training data without x features

models/lightgbm_model.py

@@ -5,10 +5,11 @@ from tabnanny import verbose
 import lightgbm as lgb
 import pandas
 from imblearn.over_sampling import KMeansSMOTE
-from model_utils import average_fold_results, get_metrics, scaling_handler
 from sklearn.model_selection import StratifiedKFold, train_test_split
 from tqdm import tqdm
 
+from models.model_utils import average_fold_results, get_metrics, scaling_handler
+
 
 class LIGHT_GBM:
     def __init__(