saves the final results now

main.py

@@ -48,4 +48,9 @@ acc, auc, cm = cnn.run_kfold(X_train_opt, X_test_kfold_opt, y_train_kfold_opt, y
 labels = ['~robust&~evolvable', 'evolvable&~robust', 'robust&~evolvable', 'robust&evolvable']
 plot_confusion_matrix(cm, labels)
 
+f = open("acc_auc.txt", 'w+')
+f.write("Average accuracy: " + str(acc)+"\n")
+f.write("Average area under the curve: " + str(auc))
+f.close()
+
 ## TO DO: code that allows to execute in parallel, make sure it's the same random shuffle ...