trying Stratified Kfold split on running multiple pipelines

my_data9.py

@@ -7,12 +7,6 @@ Created on Sat Mar  5 12:57:32 2022
 """
 #%%
 # data, etc for now  comes from my_data6.py and/or my_data5.py
-#%%
-homedir = os.path.expanduser("~")
-os.chdir(homedir + "/git/ML_AI_training/")
-
-# my function
-from MultClassPipe2 import MultClassPipeline2 
 #%% try combinations
 #import sys, os
 #os.system("imports.py")
@@ -130,5 +124,21 @@ pipeline = Pipeline(steps=[('prep', col_transform)
                                    , ('classifier', LogisticRegression())])
 #%% Added this to the MultClassPipeline
 
+tN_res = MultClassPipeline(X_trainN, X_testN, y_trainN, y_testN)
+tN_res
+
 t2_res = MultClassPipeline2(X_train, X_test, y_train, y_test, input_df = all_features_df)
-t2_res
+t2_res
+
+t3_res = MultClassPipeSKF(input_df = numerical_features_df
+                          , y_targetF = target1
+                          , var_type = 'numerical'
+                          , skf_splits = 10)
+t3_res
+
+
+t4_res = MultClassPipeSKF(input_df = all_features_df
+                          , y_targetF = target1
+                          , var_type = 'mixed'
+                          , skf_splits = 10)
+t4_res