diff --git a/Scripts/Analysis_final_mult.py b/Scripts/Analysis_final_mult.py
index 83090f0ecc173bc7315d7e204cb90fadebd4ddb2..57589acb9b211ff90ab3ca9747c7bdd42f056d55 100644
--- a/Scripts/Analysis_final_mult.py
+++ b/Scripts/Analysis_final_mult.py
@@ -40,8 +40,10 @@ savedir = '/draco/ptmp/mschuber/PAN/Data/results/'
 #path = '../Data/pan19-celebrity-profiling-training-dataset-2019-01-31/stratified_subsample/'
 
 subana_l = ['org/', 'min_tweets_1000/', 'complete_balance/']
+subana_l = ['org/']
 
 subsets_l = [200, 500, 1000, 2000]
+subsets_l = [200]
 
 classifiers = ['SVM']
 
@@ -612,7 +614,7 @@ def plotter(subsets, subana, phases, labels):
                                                                                                   an=an,
                                                                                                   label=label,
                                                                                                   group='life_phase'))
-                    plt.close()
+                    
                     
                     
                         
@@ -653,8 +655,12 @@ def plotter(subsets, subana, phases, labels):
                     cnf_matrix = confusion_matrix(df_dic[st][an]['df'][an+'_'+str(st)+'_life_phase'],
                                                  life_ph_pred_auth,
                                                  labels=phases)
+                    print(cnf_matrix)
+                    print(np.shape(cnf_matrix))
+                    print(len(phases))
                     f = plt.figure()
                     plot_confusion_matrix(cnf_matrix, classes=phases,title=None, ax=ax)
+                    plt.show()
                     plt.tight_layout()
                     f.savefig(savedir+'heatmaps/cm_{st}_{an}_{label}_{group}.png'.format(st = st, an=an,
                                                                                                   label=label,