ozcan / scipy-cluster

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Precision and Recall #31

Open GoogleCodeExporter opened 8 years ago

GoogleCodeExporter commented 8 years ago
Would we useful to have some metrics in order to evaluate the output

Original issue reported on code.google.com by federico...@gmail.com on 11 Sep 2010 at 3:41

GoogleCodeExporter commented 8 years ago
Can you clarify exactly what you want? All functions and their arguments are 
well-documented. You should see in the documentation several functions 
available for computing statistics on clusterings such as the inconsistency 
coefficient.

As for metrics like precision and recall, these fall more closely under the 
domain of classification over clustering.

On another note, precision and recall are computed as follow:

recall=num_correct/corpus_size
precision=num_correct/num_predictions

If you could provide some clarification, it would be very helpful.

Thank you.

Kind regards,

Damian

Original comment by damian.e...@gmail.com on 11 Sep 2010 at 6:06