diff --git a/UQ_FS_fn.py b/UQ_FS_fn.py
index dc09cf3..2fdba38 100644
--- a/UQ_FS_fn.py
+++ b/UQ_FS_fn.py
@@ -19,7 +19,7 @@ def fsgs(input_df
          , var_type = ['numerical'
                      , 'categorical'
                      , 'mixed']
-         , fs_estimator = [LogisticRegression(**rs)]
+         #, fs_estimator = [LogisticRegression(**rs)]
          , fs = RFECV(DecisionTreeClassifier(**rs) 
                       , cv =  StratifiedKFold(n_splits = 10
                                     , shuffle = True,**rs)
diff --git a/classification_params_FS.py b/classification_params_FS.py
index 12fcaaf..0991e25 100644
--- a/classification_params_FS.py
+++ b/classification_params_FS.py
@@ -145,7 +145,6 @@ param_grid_gbc = [
     {
 #        'clf': [GradientBoostingClassifier(**rs)],
          'clf__n_estimators'   : [10, 100, 200, 500, 1000]
-        , 'clf__n_estimators' : [10, 100, 1000]
         , 'clf__learning_rate': [0.001, 0.01, 0.1]
         , 'clf__subsample'    : [0.5, 0.7, 1.0]
         , 'clf__max_depth'     : [3, 7, 9]
@@ -354,7 +353,7 @@ param_grid_qda = [
 estimator =  RidgeClassifier(**rs)
 
 # Define pipleline with steps
-pipe_abc = Pipeline([
+pipe_rc = Pipeline([
     ('pre', MinMaxScaler())
     , ('fs', RFECV(DecisionTreeClassifier(**rs), cv = cv, scoring = 'matthews_corrcoef'))
 #    , ('fs', RFECV(estimator, cv = cv, scoring = 'matthews_corrcoef'))