diff --git a/scripts/ml/combined_model/cm_logo_skf.py b/scripts/ml/combined_model/cm_logo_skf.py
index 0ad72a2..ca81675 100755
--- a/scripts/ml/combined_model/cm_logo_skf.py
+++ b/scripts/ml/combined_model/cm_logo_skf.py
@@ -172,26 +172,25 @@ def CMLogoSkf(cm_input_df
         cm_bts_y = cm_test_df.loc[:, target_var]
     
         print('\nTEST data dim:'     , cm_bts_X.shape
-              , '\nTEST Target dim:', cm_bts_y.shape)
+              , '\nTEST Target dim:' , cm_bts_y.shape)
         
         print("Running Multiple models on LOGO with SKF")
         #%%:Running Multiple models on LOGO with SKF
         cD3_v2 = MultModelsCl_logo_skf(input_df = cm_X
                         , target = cm_y
-                        #, group = 'none'
                         , sel_cv = skf_cv
-        
-                        , blind_test_df = cm_bts_X
-                        , blind_test_target = cm_bts_y
-                        
-                        , tts_split_type = tts_split_type
-                        
+                        , tts_split_type = tts_split_type                     
                         , resampling_type = 'none' # default
+                        #, group = 'none'
+                        
                         , add_cm = True 
                         , add_yn = True 
                         , var_type = 'mixed'
-                        
+                        , scale_numeric = ['min_max'] 
                         , run_blind_test = True
+                        , blind_test_df = cm_bts_X
+                        , blind_test_target = cm_bts_y
+                        
                         , return_formatted_output = True
                         , random_state = 42
                         , n_jobs = os.cpu_count() # the number of jobs should equal the number of CPU cores
diff --git a/scripts/ml/combined_model/running_ml_scripts.txt b/scripts/ml/combined_model/running_ml_scripts.txt
index 3f04ff8..5c3793c 100644
--- a/scripts/ml/combined_model/running_ml_scripts.txt
+++ b/scripts/ml/combined_model/running_ml_scripts.txt
@@ -1,7 +1,6 @@
 ########################################################################
-
+# COMBINED Model
 
 ########################################################################
 
-time ./cm_logo_skf.py 2>&1 | tee log_cm_skf.txt 
-
+time ./cm_logo_skf.py 2>&1 | tee cm_skf-$(date --iso).log
diff --git a/scripts/ml/ml_functions/MultClfs_logo_skf.py b/scripts/ml/ml_functions/MultClfs_logo_skf.py
index e2fc932..73e8b3a 100755
--- a/scripts/ml/ml_functions/MultClfs_logo_skf.py
+++ b/scripts/ml/ml_functions/MultClfs_logo_skf.py
@@ -90,10 +90,11 @@ scoring_fn =  ({ 'mcc'        : make_scorer(matthews_corrcoef)
                 , 'roc_auc'   : make_scorer(roc_auc_score)
                 , 'jcc'       : make_scorer(jaccard_score)
             }) 
-  
+ 
+# for sel_cv
 #skf_cv = StratifiedKFold(n_splits = 10
 #                          #, shuffle = False, random_state= None)
-#                           , shuffle = True,**rs)
+#                           , shuffle = True, **rs)
 
 #rskf_cv = RepeatedStratifiedKFold(n_splits = 10
 #                                  , n_repeats = 3
@@ -188,15 +189,7 @@ def MultModelsCl_logo_skf(input_df
 #%% Func globals        
     rs = {'random_state': random_state}
     njobs = {'n_jobs': n_jobs}
-    
-    skf_cv = StratifiedKFold(n_splits = 10
-                              #, shuffle = False, random_state= None)
-                              , shuffle = True,**rs)
 
-    rskf_cv = RepeatedStratifiedKFold(n_splits = 10
-                                      , n_repeats = 3
-                                      , **rs)
-    logo = LeaveOneGroupOut()
 
     # select CV type:           
     # if group == None: