Hi Jack.
You mean in the classification report?
That give micro-average from looking at the code:
https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/metrics/classification.py#L1265
If you use the f1_score function instead you can give the averaging scheme:
http://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html#sklearn.metrics.f1_score
I wonder if we should rather call precision_recall_fscore_support again
here with an average option?
Hth,
Andy
On 04/09/2015 10:20 AM, Jack Alan wrote:
Hi folks,
I wonder for classification of text documents available on:
http://scikit-learn.org/stable/auto_examples/text/mlcomp_sparse_document_classification.html#example-text-mlcomp-sparse-document-classification-py
What sort of F-measure that has been used? Is it Micro or Macro? and
how to change the default option to use the other?
~j
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