diff --git a/Experiments/configurations/eiv_msd.json b/Experiments/configurations/eiv_msd.json
index a971f4bd96be65305b2572631c9d9ff092bce985..d29808616f409eb56467b162271e0362b196de76 100644
--- a/Experiments/configurations/eiv_msd.json
+++ b/Experiments/configurations/eiv_msd.json
@@ -9,7 +9,7 @@
 	"report_point": 5,
 	"p": 0.2,
 	"lr_update": 4,
-	"std_y_update_points": 4,
+	"std_y_update_points": [1,4],
 	"eiv_prediction_number_of_draws": [100,5],
 	"eiv_prediction_number_of_batches": 10,
 	"init_std_y_list": [0.5],
diff --git a/Experiments/configurations/eiv_power.json b/Experiments/configurations/eiv_power.json
index c7517c3e09f449f06472e1eb85687cbe678d1d94..917f1f002b4b79382d002183cd577e5ac653d3cb 100644
--- a/Experiments/configurations/eiv_power.json
+++ b/Experiments/configurations/eiv_power.json
@@ -9,7 +9,7 @@
 	"report_point": 5,
 	"p": 0.2,
 	"lr_update": 10,
-	"std_y_update_points": 15,
+	"std_y_update_points": [1,15],
 	"eiv_prediction_number_of_draws": [100,5],
 	"eiv_prediction_number_of_batches": 10,
 	"init_std_y_list": [0.5],
diff --git a/Experiments/configurations/eiv_protein.json b/Experiments/configurations/eiv_protein.json
index 04ffb85949dff72f1af20f888b802aab8e13bf94..330713a1118dcfc2e2ef3b8159574fbbdb696932 100644
--- a/Experiments/configurations/eiv_protein.json
+++ b/Experiments/configurations/eiv_protein.json
@@ -9,7 +9,7 @@
 	"report_point": 5,
 	"p": 0.2,
 	"lr_update": 10,
-	"std_y_update_points": 10,
+	"std_y_update_points": [1,14],
 	"eiv_prediction_number_of_draws": [100,5],
 	"eiv_prediction_number_of_batches": 10,
 	"init_std_y_list": [0.5],
diff --git a/Experiments/configurations/eiv_wine.json b/Experiments/configurations/eiv_wine.json
index 0246c033c5c91e2d0d02988c1830aea812112aee..fef0c488758678ca809102ce53f30e226a3b77c1 100644
--- a/Experiments/configurations/eiv_wine.json
+++ b/Experiments/configurations/eiv_wine.json
@@ -9,7 +9,7 @@
 	"report_point": 5,
 	"p": 0.2,
 	"lr_update": 30,
-	"std_y_update_points": 50,
+	"std_y_update_points": [1,40],
 	"eiv_prediction_number_of_draws": [100,5],
 	"eiv_prediction_number_of_batches": 10,
 	"init_std_y_list": [0.5],
diff --git a/Experiments/configurations/noneiv_kin8nm.json b/Experiments/configurations/noneiv_kin8nm.json
index fdc5ec591a2fea76f3c0b1309edb06645cb240ce..694d7f0d065021462c841e636957caf0d46622ad 100644
--- a/Experiments/configurations/noneiv_kin8nm.json
+++ b/Experiments/configurations/noneiv_kin8nm.json
@@ -9,7 +9,7 @@
 	"report_point": 5,
 	"p": 0.2,
 	"lr_update": 20,
-	"std_y_update_points": [1,16],
+	"std_y_update_points": [1,14],
 	"noneiv_prediction_number_of_draws": 100,
 	"noneiv_prediction_number_of_batches": 10,
 	"init_std_y_list": [0.5],
diff --git a/Experiments/configurations/noneiv_msd.json b/Experiments/configurations/noneiv_msd.json
index a0e2f73beb63e165c7da5266b774f227e90310c1..126a571eb955cf2dd320d0b40bd4c749446a3253 100644
--- a/Experiments/configurations/noneiv_msd.json
+++ b/Experiments/configurations/noneiv_msd.json
@@ -9,7 +9,7 @@
 	"report_point": 5,
 	"p": 0.2,
 	"lr_update": 4,
-	"std_y_update_points": 4,
+	"std_y_update_points": [1,4],
 	"noneiv_prediction_number_of_draws": 100,
 	"noneiv_prediction_number_of_batches": 10,
 	"init_std_y_list": [0.5],
diff --git a/Experiments/configurations/noneiv_power.json b/Experiments/configurations/noneiv_power.json
index 48aac9dcf4cc208095142760d7bf286c2589b22b..e14e82d00f0048d0fa42a47baddf0ff520dbc27e 100644
--- a/Experiments/configurations/noneiv_power.json
+++ b/Experiments/configurations/noneiv_power.json
@@ -9,7 +9,7 @@
 	"report_point": 5,
 	"p": 0.2,
 	"lr_update": 10,
-	"std_y_update_points": 15,
+	"std_y_update_points": [1,15],
 	"noneiv_prediction_number_of_draws": 100,
 	"noneiv_prediction_number_of_batches": 10,
 	"init_std_y_list": [0.5],
diff --git a/Experiments/configurations/noneiv_protein.json b/Experiments/configurations/noneiv_protein.json
index 454deaef823c1a25c03588c4f430b5d0f67e5e93..36f5fafd53fc56e16387b86a038507e848564c97 100644
--- a/Experiments/configurations/noneiv_protein.json
+++ b/Experiments/configurations/noneiv_protein.json
@@ -9,7 +9,7 @@
 	"report_point": 5,
 	"p": 0.2,
 	"lr_update": 10,
-	"std_y_update_points": 10,
+	"std_y_update_points": [1,14],
 	"noneiv_prediction_number_of_draws": 100,
 	"noneiv_prediction_number_of_batches": 10,
 	"init_std_y_list": [0.5],
diff --git a/Experiments/configurations/noneiv_wine.json b/Experiments/configurations/noneiv_wine.json
index ddd2199fae58e2dd62409d554f51983b5bd1ef02..1c014763748a07c5ecb846a2391eff968fb09a78 100644
--- a/Experiments/configurations/noneiv_wine.json
+++ b/Experiments/configurations/noneiv_wine.json
@@ -9,7 +9,7 @@
 	"report_point": 5,
 	"p": 0.2,
 	"lr_update": 30,
-	"std_y_update_points": 50,
+	"std_y_update_points": [1,40],
 	"noneiv_prediction_number_of_draws": 100,
 	"noneiv_prediction_number_of_batches": 10,
 	"init_std_y_list": [0.5],
diff --git a/Experiments/create_tabular.py b/Experiments/create_tabular.py
new file mode 100644
index 0000000000000000000000000000000000000000..3d128431359c29961892df2f49e3a2f11720f450
--- /dev/null
+++ b/Experiments/create_tabular.py
@@ -0,0 +1,35 @@
+import os
+import glob
+import json
+
+metrics_to_display = ['rmse','logdens','bias','coverage_normalized']
+
+
+list_of_result_files = glob.glob(os.path.join('results','*.json'))
+results = {}
+for filename in list_of_result_files:
+    data = filename.replace(os.path.join('results','metrics_'),'').replace('.json','')
+    with open(filename,'r') as f:
+       results[data] = json.load(f)
+
+## header
+header_string = 'DATA'
+for metric in metrics_to_display:
+    header_string += f'          {metric}'
+print(header_string)
+## results
+for data in results.keys():
+    noneiv_results = [results[data]['noneiv'][metric]
+            for metric in metrics_to_display]
+    noneiv_results_string = f'{data} - nonEiV:'
+    for [metric_mean, metric_std] in noneiv_results:
+        noneiv_results_string += f'  {metric_mean:.3f} ({metric_std:.3f})'
+    print(noneiv_results_string)
+    eiv_results = [results[data]['eiv'][metric]
+            for metric in metrics_to_display]
+    eiv_results_string = f'{data} - EiV:'
+    for [metric_mean, metric_std] in eiv_results:
+        eiv_results_string += f'  {metric_mean:.3f} ({metric_std:.3f})'
+    print(eiv_results_string)
+
+
diff --git a/Experiments/evaluate_tabular.py b/Experiments/evaluate_metrics.py
similarity index 91%
rename from Experiments/evaluate_tabular.py
rename to Experiments/evaluate_metrics.py
index 1cb0fec9875b2e0b7fad3fd42acb2bb4f9057648..5dbc16fcc5277e95db69d61b5decaee1a17fc0df 100644
--- a/Experiments/evaluate_tabular.py
+++ b/Experiments/evaluate_metrics.py
@@ -231,11 +231,23 @@ for seed in tqdm(seed_list):
                 noneiv_metrics_collection[key].append(noneiv_metrics[key])
                 eiv_metrics_collection[key].append(eiv_metrics[key])
 
-print('Non-EiV\n-----')
+results_dict = {}
+print('Non-EiV:\n-----')
+results_dict['noneiv'] = {}
 for key in collection_keys:
-    print(f'{key} {np.mean(noneiv_metrics_collection[key]):.5f}'\
-            f'({np.std(noneiv_metrics_collection[key])/np.sqrt(num_test_epochs*len(seed_list)):.5f})')
-print('EiV\n-----')
+    metric_mean = float(np.mean(noneiv_metrics_collection[key]))
+    metric_std  = float(np.std(noneiv_metrics_collection[key])/np.sqrt(num_test_epochs*len(seed_list)))
+    results_dict['noneiv'][key] = (metric_mean, metric_std)
+    print(f'{key}: {metric_mean:.5f} ({metric_std:.5f})')
+print('\n')
+print('EiV:\n-----')
+results_dict['eiv'] = {}
 for key in collection_keys:
-    print(f'{key} {np.mean(eiv_metrics_collection[key]):.5f}'\
-            f'({np.std(eiv_metrics_collection[key])/np.sqrt(num_test_epochs*len(seed_list)):.5f})')
+    metric_mean = float(np.mean(eiv_metrics_collection[key]))
+    metric_std  = float(np.std(eiv_metrics_collection[key])/np.sqrt(num_test_epochs*len(seed_list)))
+    print(f'{key}: {metric_mean:.5f} ({metric_std:.5f})')
+    results_dict['eiv'][key] = (metric_mean, metric_std)
+
+# write results to a JSON file in the results folder
+with open(os.path.join('results',f'metrics_{short_dataname}.json'), 'w') as f:
+    json.dump(results_dict, f)