added feature selection on all models but lets see if it works, only worked until DT

UQ_FS_eg.py

@@ -25,7 +25,6 @@ X_eg, y_eg = make_classification(n_samples=1000,
 
 pipe = Pipeline([('scaler', StandardScaler()),
                  ('selector', SelectKBest(mutual_info_classif, k=9)),
-                 
                  ('classifier', LogisticRegression())])
 
 search_space = [{'selector__k': [5, 6, 7, 10]},
@@ -97,7 +96,7 @@ search_space = [{'fs__min_features_to_select': [1,2]
 
 gscv_fs = GridSearchCV(pipe
                    , search_space
-                   , cv = skf_cv
+                   , cv = rskf_cv
                    , scoring = mcc_score_fn
                    , refit = 'mcc'
                    , verbose = 1
@@ -239,4 +238,4 @@ output_modelD
 #     json.dump(output_modelD, f)
 # #
 # with open(file, 'r') as f:
-#     data = json.load(f)
+#     data = json.load(f)