diff --git a/cami_src/evaluation_scripts/seed_variation_script.py b/cami_src/evaluation_scripts/seed_variation_script.py
index baa420c831ef45e4cb757a187a22e312efff5ed3..5fdca37fb0d6ca4e70d19de9928dac8ccb58b8ad 100644
--- a/cami_src/evaluation_scripts/seed_variation_script.py
+++ b/cami_src/evaluation_scripts/seed_variation_script.py
@@ -52,13 +52,13 @@ def make_seedvariation(cami, n_iterations, removal_frac=0.2, vis=False, plot=Fal
             for tool in prediction_tools:
                 res_table.write(f'\t{tool}_msr_ks_pvalue')
             
-            # with open(os.path.join(cami.tmp_dir, f'{used_tools[0]}_{cami.uid}_relevance_scores.tsv'), 'r') as f:
-            #     for line in f:
-            #         val_name = line.split('\t')[0]
-            #         redisc_table.write(f'\t{val_name}')
-            # res_table.write('\n')
-            # result dictionaries of the form {tool:list(value for each iteration)}
+            with open(os.path.join(cami.tmp_dir, f'{used_tools[0]}_{cami.uid}_relevance_scores.tsv'), 'r') as f:
+                for line in f:
+                    val_name = line.split('\t')[0]
+                    redisc_table.write(f'\t{val_name}')
+            res_table.write('\n')
             
+            #result dictionaries of the form {tool:list(value for each iteration)}
             tp_rate_dict = {k:list() for k in used_tools}
             redisc_rate_dict = {k:list() for k in used_tools}
             module_size_dict = {k:list() for k in used_tools}
@@ -142,10 +142,10 @@ def make_seedvariation(cami, n_iterations, removal_frac=0.2, vis=False, plot=Fal
                                                                      list(module_size_dict[pred_tool]))
                     res_table.write(f'\t{p_val}')
                     
-                # with open(os.path.join(cami.tmp_dir, f'{tool}_{identifier}_relevance_scores.tsv'), 'r') as f:
-                #     for line in f:
-                #         rel_score = line.split('\t')[1].strip()
-                #         res_table.write(f'\t{rel_score}')
+                with open(os.path.join(cami.tmp_dir, f'{tool}_{identifier}_relevance_scores.tsv'), 'r') as f:
+                    for line in f:
+                        rel_score = line.split('\t')[1].strip()
+                        res_table.write(f'\t{rel_score}')
                 res_table.write('\n')
     
     print(f'Result tables are saved in the following locations:')