diff --git a/Qfunctions/__pycache__/loaData.cpython-312.pyc b/Qfunctions/__pycache__/loaData.cpython-312.pyc
index 7439bfb..da10d4c 100644
Binary files a/Qfunctions/__pycache__/loaData.cpython-312.pyc and b/Qfunctions/__pycache__/loaData.cpython-312.pyc differ
diff --git a/Qfunctions/loaData.py b/Qfunctions/loaData.py
index 5d7272e..0646adf 100644
--- a/Qfunctions/loaData.py
+++ b/Qfunctions/loaData.py
@@ -61,6 +61,12 @@ def load_xlsx(fileName, labelName, max_row_length = 1000, fill_rule = None):
 
     # 提取偶数列
     features = df.iloc[0:, 1::2]
+    # 计算变化率
+    first_value = features.iloc[0, :]  # 获取第一行的数据
+    features_pct_change = (features - first_value) / first_value
+
+    features = features_pct_change
+
     features.dropna(inplace=True)  
     features.reset_index(drop=True, inplace=True)
 
diff --git a/main.py b/main.py
index bcfdbb2..7f968e5 100644
--- a/main.py
+++ b/main.py
@@ -11,7 +11,7 @@ def main():
   label_names =["Accuracy", "Compress", "Distance", "Loss", "Metal", "Python"]
   data = dLoader(projet_name, label_names, isDir=False)
   X_train, X_test, y_train, y_test, encoder = divSet(
-    data=data, labels=label_names, test_size= 0.5
+    data=data, labels=label_names, test_size= 0.2
   )
   
   print(y_train)
@@ -35,20 +35,20 @@ def main():
 
 
   
-  # model = Qmlp(
-  #   X_train=X_train, X_test=X_test, y_train=y_train, y_test= y_test,
-  #   hidden_layers=[32, 32, 32],
-  #   dropout_rate=0
-  #   )
-  # model.fit(100)
+  model = Qmlp(
+    X_train=X_train, X_test=X_test, y_train=y_train, y_test= y_test,
+    hidden_layers=[64, 64],
+    dropout_rate=0
+    )
+  model.fit(100)
   
-  # cm = model.get_cm()
-  # epoch_data = model.get_epoch_data()
+  cm = model.get_cm()
+  epoch_data = model.get_epoch_data()
   
-  # from Qfunctions.saveToxlsx import save_to_xlsx as stx
-  # stx(project_name=projet_name, file_name="cm", data=cm)
-  # stx(project_name=projet_name, file_name="acc_and_loss", data=epoch_data)
-  # print("Done")
+  from Qfunctions.saveToxlsx import save_to_xlsx as stx
+  stx(project_name=projet_name, file_name="cm", data=cm)
+  stx(project_name=projet_name, file_name="acc_and_loss", data=epoch_data)
+  print("Done")
   
 if __name__ == '__main__':
   main()