diff --git a/cami_src/evaluation_scripts/seed_variation_script.py b/cami_src/evaluation_scripts/seed_variation_script.py
index 3f24ee92d80744f03bf7f860400c2e6ecebed78b..0ae2af9325b79ea1130fd23671c2e7ffafeb87ac 100644
--- a/cami_src/evaluation_scripts/seed_variation_script.py
+++ b/cami_src/evaluation_scripts/seed_variation_script.py
@@ -52,15 +52,13 @@ def make_seedvariation(cami, n_iterations, removal_frac=0.2, vis=False, plot=Tru
             for tool in prediction_tools:
                 res_table.write(f'\t{tool}_msr_ks_pvalue')
             
-            # if relevance scores file exsits:
-            if os.path.exists(os.path.join(cami.tmp_dir, f'{used_tools[0]}_{identifier}_relevance_scores.tsv)')):
-                with open(os.path.join(cami.tmp_dir, f'{used_tools[0]}_{identifier}_relevance_scores.tsv)'), 'r') as f:
-                    for line in f:
-                        val_name = line.split('\t')[0]
-                        redisc_table.write(f'\t{val_name}')
+           # 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]
+           #         res_table.write(f'\t{val_name}')
             res_table.write('\n')
-            # result dictionaries of the form {tool:list(value for each iteration)}
             
+            #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}
@@ -89,11 +87,7 @@ def make_seedvariation(cami, n_iterations, removal_frac=0.2, vis=False, plot=Tru
                 # reinitialize tools
                 cami.initialize_all_tools()
                 
-                # repeat consensus
-                if ident%20==0:     
-                    predict_and_make_consensus(cami)
-                else:
-                    predict_and_make_consensus(cami)
+                predict_and_make_consensus(cami)
                 
                 used_seeds = [cami.ppi_vertex2gene[seed] for seed in cami.seed_lst]
                 
@@ -143,11 +137,11 @@ def make_seedvariation(cami, n_iterations, removal_frac=0.2, vis=False, plot=Tru
                     p_val = kolmogorov_smirnoff.calculate_ks_p_value(list(module_size_dict[tool]), 
                                                                      list(module_size_dict[pred_tool]))
                     res_table.write(f'\t{p_val}')
-                if os.path.exists(os.path.join(cami.tmp_dir, f'{used_tools[0]}_{identifier}_relevance_scores.tsv)')): 
-                  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:')
@@ -168,12 +162,13 @@ def make_seedvariation(cami, n_iterations, removal_frac=0.2, vis=False, plot=Tru
             if second_occurrence_index > -1:
                 # replace the character at that index with the replacement character
                 tool_name = tool[:second_occurrence_index] + '\n' + tool[second_occurrence_index + 1:]
+                tool_name = tool_name.replace('_hub_penalty', '').replace('damping_factor', 'df').replace('confidence_level', 'cl').replace('ranking_trustrank', 'tr')
                 tool_labels[idx] = tool_name        
     if plot:
         #PLOT
         # Create a figure instance
         #print(sys.getrecursionlimit())
-        fig1, (ax1, ax5, ax4) = plt.subplots(3, 1, figsize=(20,20))
+        fig1, (ax1, ax5) = plt.subplots(2, 1, figsize=(12,12))
         fig1.subplots_adjust(left=0.2)
         # Extract Figure and Axes instance
 
@@ -186,7 +181,7 @@ def make_seedvariation(cami, n_iterations, removal_frac=0.2, vis=False, plot=Tru
         for violin, tool in zip(violins1['bodies'], tools):
             if tool in [tw.name for tw in cami.tool_wrappers]:        
                 violin.set_facecolor('saddlebrown')
-            elif tool == 'first_neighbors':
+            elif tool == 'first_neighbours':
                 violin.set_facecolor('orange')
             elif tool in ['union', 'intersection']:
                 violin.set_facecolor('peachpuff')
@@ -194,7 +189,7 @@ def make_seedvariation(cami, n_iterations, removal_frac=0.2, vis=False, plot=Tru
                 violin.set_facecolor('red')
             
         # Add title
-        ax1.set_title(f'Rediscovery rate after randomly removing {nof_removals} seeds {nof_iterations} times from {identifier} seeds.', wrap=True, fontsize=14)
+        ax1.set_title(f'Rediscovery rate after randomly removing {nof_removals} seeds {nof_iterations} times\nfrom {identifier} seeds.', wrap=True, fontsize=14)
 
         ax1.set_xticks(list(range(1,len(tools)+1)))
         ax1.set_xticklabels(tool_labels)
@@ -202,26 +197,26 @@ def make_seedvariation(cami, n_iterations, removal_frac=0.2, vis=False, plot=Tru
 
         ax1.set_ylabel('Rediscovery rate (<rediscovered seeds>/<removed seeds>)', wrap=True, fontsize=14)
 
-        violins2 = ax4.violinplot([tp_rate_dict[tool] for tool in tools], showmeans=True, showextrema=True)
-        for violinpart in list(violins2.keys())[2:]:
-            violins2[violinpart].set_color('k')
-        for violin, tool in zip(violins2['bodies'], tools):
-            if tool in [tw.name for tw in cami.tool_wrappers]:        
-                violin.set_facecolor('tan')
-            elif tool == 'first_neighbors':
-                violin.set_facecolor('peachpuff')
-            elif tool in ['union', 'intersection']:
-                violin.set_facecolor('orange')
-            else:
-                violin.set_facecolor('darkorange')
-        # Add title
-        ax4.set_title(f'True positive rates after randomly removing {nof_removals} seeds {nof_iterations} times from {identifier} seeds.', wrap=True, fontsize=14)
+        # violins2 = ax4.violinplot([tp_rate_dict[tool] for tool in tools], showmeans=True, showextrema=True)
+        # for violinpart in list(violins2.keys())[2:]:
+        #     violins2[violinpart].set_color('k')
+        # for violin, tool in zip(violins2['bodies'], tools):
+        #     if tool in [tw.name for tw in cami.tool_wrappers]:        
+        #         violin.set_facecolor('tan')
+        #     elif tool == 'first_neighbors':
+        #         violin.set_facecolor('peachpuff')
+        #     elif tool in ['union', 'intersection']:
+        #         violin.set_facecolor('orange')
+        #     else:
+        #         violin.set_facecolor('darkorange')
+        # # Add title
+        # ax4.set_title(f'True positive rates after randomly removing {nof_removals} seeds {nof_iterations} times from {identifier} seeds.', wrap=True, fontsize=14)
 
-        ax4.set_xticks(list(range(1,len(tools)+1)))
-        ax4.set_xticklabels(tool_labels)
-        ax4.tick_params(axis='x', labelsize=11)
+        # ax4.set_xticks(list(range(1,len(tools)+1)))
+        # ax4.set_xticklabels(tool_labels)
+        # ax4.tick_params(axis='x', labelsize=11)
 
-        ax4.set_ylabel('Sensitivity (TP/TP + FN)', wrap=True, fontsize=14)
+        # ax4.set_ylabel('Sensitivity (TP/TP + FN)', wrap=True, fontsize=14)
 
         violins3 = ax5.violinplot([module_size_dict[tool] for tool in tools], showmeans=True, showextrema=True)
         # Add title
@@ -231,14 +226,14 @@ def make_seedvariation(cami, n_iterations, removal_frac=0.2, vis=False, plot=Tru
         for violin, tool in zip(violins3['bodies'], tools):
             if tool in [tw.name for tw in cami.tool_wrappers]:        
                 violin.set_facecolor('midnightblue')
-            elif tool == 'first_neighbors':
+            elif tool == 'first_neighbours':
                 violin.set_facecolor('mediumblue')
             elif tool in ['union', 'intersection']:
                 violin.set_facecolor('lightsteelblue')
             else:
                 violin.set_facecolor('royalblue')
                 
-        ax5.set_title(f'Ratio of number of rediscovered seeds and predicted module size after removing {nof_removals} seeds {nof_iterations} times from {identifier} seeds.', wrap=True, fontsize=14)
+        ax5.set_title(f'Rediscovery module size ratio after removing {nof_removals} seeds {nof_iterations} times\nfrom {identifier} seeds.', wrap=True, fontsize=14)
 
         ax5.set_xticks(list(range(1,len(tools)+1)))
         ax5.set_xticklabels(tool_labels)