talk a bit more on quality

README.md

@@ -241,6 +241,13 @@ value being equal across all atributes suggests entire rows were
 removed, rather than select values from separate rows. The only
 exception is the `occupation` attribute, which was entirely removed.
 
+![Quality models](quality.png)
+
+The values for precision (Gen. Intensity) and Information Loss (Granularity)
+are high. The values for Discernibility and Average Equivalence Class Size
+are also high. And in general, all the quality models (both attribute-level
+and dataset-level) are high. Hence, we believe we've achieved a good utility.
+
 
 ### Effect of parameters