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talk a bit more on quality

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Diogo Peralta Cordeiro 2022-06-05 18:36:21 +01:00
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README.md
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@ -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

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