Upload app.py

app.py

@@ -97,7 +97,7 @@ y1 = x1.pop('OUTCOME')
 categorical_columns1 = list(x1.select_dtypes('object').columns)
 x1 = x1.astype({col: "category" for col in categorical_columns1})
 y1_data_xgb = xgb.DMatrix(x1, label=y1, enable_categorical=True)
-x1_lgb = x1.rename(columns = lambda x:re.sub('[^A-Za-z0-9_]+', '', x1))
+x1_lgb = x1.rename(columns = lambda x:re.sub('[^A-Za-z0-9_]+', '', x))
 y1_data_lgb = lgb.Dataset(x1_lgb, label=y1) 
 y1_data_cb = Pool(data=x1, label=y1, cat_features=categorical_columns1)
 x1_rf = x1