diff --git a/backend/core/generate_evaluation_plots.py b/backend/core/generate_evaluation_plots.py
index caf0a80..bbc4150 100644
--- a/backend/core/generate_evaluation_plots.py
+++ b/backend/core/generate_evaluation_plots.py
@@ -26,7 +26,6 @@ from core.model_features import (
     fit_outlier_bounds,
     make_target_bins,
     normalize_columns,
-    prepare_modeling_dataframe,
 )
 from core.preprocessing import get_clean_data
 
@@ -95,11 +94,9 @@ def load_lstm_predictions():
         raise RuntimeError('无法加载深度学习模型，请确认 torch 环境和模型文件正常。')
 
     raw_train_df, raw_test_df = get_test_split()
-    fit_df = prepare_modeling_dataframe(raw_train_df)
-    test_df = prepare_modeling_dataframe(raw_test_df)
-    outlier_bounds = fit_outlier_bounds(fit_df, NUMERICAL_OUTLIER_COLUMNS)
-    fit_df = apply_outlier_bounds(fit_df, outlier_bounds)
-    test_df = apply_outlier_bounds(test_df, outlier_bounds)
+    outlier_bounds = fit_outlier_bounds(raw_train_df, NUMERICAL_OUTLIER_COLUMNS)
+    fit_df = apply_outlier_bounds(raw_train_df, outlier_bounds)
+    test_df = apply_outlier_bounds(raw_test_df, outlier_bounds)
 
     feature_layout = bundle['feature_layout']
     category_maps = bundle['category_maps']