diff --git a/server/website/website/tasks/async_tasks.py b/server/website/website/tasks/async_tasks.py
index 8b573b7..055f554 100644
--- a/server/website/website/tasks/async_tasks.py
+++ b/server/website/website/tasks/async_tasks.py
@@ -684,9 +684,13 @@ def configuration_recommendation(recommendation_input):
     params = JSONUtil.loads(session.hyperparameters)
 
     if target_data['bad'] is True:
+        if session.tuning_session == 'randomly_generate':
+            info = 'Randomly generated'
+        else:
+            info = 'WARNING: no training data, the config is generated by LHS'
         target_data_res = create_and_save_recommendation(
             recommended_knobs=target_data['config_recommend'], result=newest_result,
-            status='bad', info='WARNING: no training data, the config is generated by LHS',
+            status='bad', info=info,
             pipeline_run=target_data['pipeline_run'])
         LOG.debug('%s: Skipping configuration recommendation.\nData:\n%s\n\n',
                   AlgorithmType.name(algorithm), target_data)
diff --git a/server/website/website/views.py b/server/website/website/views.py
index 9816686..a3146be 100644
--- a/server/website/website/views.py
+++ b/server/website/website/views.py
@@ -488,11 +488,12 @@ def handle_result_files(session, files, execution_times=None):
         LOG.debug("Error in restarting database")
         # Find worst throughput
         past_metrics = MetricData.objects.filter(session=session)
+        metric_meta = target_objectives.get_instance(session.dbms.pk, session.target_objective)
         worst_target_value = None
         for past_metric in past_metrics:
+            if '*' in past_metric.name:
+                continue
             target_value = JSONUtil.loads(past_metric.data)[session.target_objective]
-            metric_meta = target_objectives.get_instance(
-                session.dbms.pk, session.target_objective)
             if metric_meta.improvement == target_objectives.MORE_IS_BETTER:
                 if worst_target_value is None or target_value < worst_target_value:
                     worst_target_value = target_value
@@ -531,7 +532,11 @@ def handle_result_files(session, files, execution_times=None):
 
         metric_data = result.metric_data
         metric_cpy = JSONUtil.loads(metric_data.data)
-        metric_cpy[session.target_objective] = worst_target_value
+        panelty_factor = JSONUtil.loads(session.hyperparameters).get('PENALTY_FACTOR', 2)
+        if metric_meta.improvement == target_objectives.MORE_IS_BETTER:
+            metric_cpy[session.target_objective] = worst_target_value / panelty_factor
+        else:
+            metric_cpy[session.target_objective] = worst_target_value * panelty_factor
         metric_cpy = JSONUtil.dumps(metric_cpy)
         metric_data.pk = None
         metric_data.name = metric_data.name + '*'