Yeah that would probably be best :)
On 04/11/2015 07:04 AM, Joel Nothman wrote:
Or report macro and micro in classification_report. Micro is
equivalent to accuracy for multiclass without #4287
https://github.com/scikit-learn/scikit-learn/pull/4287.
On 10 April 2015 at 01:00, Andreas Mueller
Or report macro and micro in classification_report. Micro is equivalent to
accuracy for multiclass without #4287
https://github.com/scikit-learn/scikit-learn/pull/4287.
On 10 April 2015 at 01:00, Andreas Mueller t3k...@gmail.com wrote:
Hi Jack.
You mean in the classification report?
That
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:
