diff --git a/src/dataset.py b/src/dataset.py
index 628e2625..47f4e344 100644
--- a/src/dataset.py
+++ b/src/dataset.py
@@ -127,7 +127,7 @@ def prepare_labels(self):
             pass
 
     def check_continous_classification(self, df):
-        datatype = self.util.config_val('DATA', 'data_type', 'whatever')
+        datatype = self.util.config_val('DATA', 'data_type', 'dummy')
         if self.util.exp_is_classification() and datatype == 'continous':
             cat_vals = self.util.continuous_to_categorical(df[self.target])
             df[self.target] = cat_vals
diff --git a/src/model.py b/src/model.py
index aff23a46..19e31bc9 100644
--- a/src/model.py
+++ b/src/model.py
@@ -37,7 +37,7 @@ def train(self):
             self.util.debug(f'tuning on {tuned_params}')
             self.clf = GridSearchCV(self.clf, tuned_params, refit = True, verbose = 3, scoring=scoring)
             try: 
-                class_weight = glob_conf.config['MODEL']['class_weight']
+                class_weight = self.util.config_val('MODEL', 'class_weight', 0)
                 if class_weight:
                     self.util.debug('using class weight')
                     self.clf.fit(feats, self.df_train[target], sample_weight=self.classes_weights)