diff --git a/KDEyAitchison/commons.py b/KDEyAitchison/commons.py
index 0beaea0..9e7b105 100644
--- a/KDEyAitchison/commons.py
+++ b/KDEyAitchison/commons.py
@@ -5,7 +5,7 @@ from quapy.method.aggregative import EMQ, KDEyML
 from sklearn.linear_model import LogisticRegression
 
 METHODS = ['EMQ',
-           # 'KDEy-ML',
+           'KDEy-ML',
            'KDEy-MLA'
            ]
 
@@ -17,7 +17,7 @@ hyper_LR = {
 }
 
 hyper_kde = {
-    'bandwidth': np.linspace(0.01, 0.2, 20)
+    'bandwidth': np.linspace(0.001, 0.5, 100)
 }
 
 hyper_kde_aitchison = {
diff --git a/KDEyAitchison/show_results.py b/KDEyAitchison/show_results.py
index db63e64..3c18d6b 100644
--- a/KDEyAitchison/show_results.py
+++ b/KDEyAitchison/show_results.py
@@ -24,7 +24,7 @@ if __name__ == '__main__':
             global_result_path = f'{result_dir}/{method}'
             print(f'Method\tDataset\tMAE\tMRAE\tKLD')
             for dataset in qp.datasets.UCI_MULTICLASS_DATASETS:
-                print(dataset)
+                # print(dataset)
                 local_result_path = global_result_path + '_' + dataset
                 if os.path.exists(local_result_path + '.dataframe'):
                     report = pd.read_csv(local_result_path+'.dataframe')