adding reference to part 9 for dimension reduction for plotting

Author: Nikronic

Part 3 - Classification/Section 8 - Logistic Regression/lr_with_gender.py

@@ -66,4 +66,7 @@
 print('Train status = #{} True, #{} False, %{} Accuracy'.format(t_train,f_train,acc_train*100))
 
 t_test,f_test,acc_test = ac.accuracy_on_cm(cm_test)
-print('Test status = #{} True, #{} False, %{} Accuracy'.format(t_test,f_test,acc_test*100))
+print('Test status = #{} True, #{} False, %{} Accuracy'.format(t_test,f_test,acc_test*100))
+      
+      # For educational purpose, I didn't added PCA to reduce dimensions to plot. But if you
+      #     like to do this, see the Part 9 and use lr.py visualization code to plot.