Confusion about Confusion Matrix (pun intended)
Guys, please help me make sense of this performance vector. I know how to interpret the Accuracy tab:
But when I click on the precision tab, I get this:
Why the pred0,true0 cell count has gone from 1846 to 437? Why is the precision tab precision 19.14% not matching with any of the class precision on the accuracy tab (80.86% and 77.39%)?
But when I click on the precision tab, I get this:
Why the pred0,true0 cell count has gone from 1846 to 437? Why is the precision tab precision 19.14% not matching with any of the class precision on the accuracy tab (80.86% and 77.39%)?
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This looks definitely like a bug. Can you please post a process that reproduces this behavior?
Best regards,
Marius
Best regards,
Marius
Thanks Marius. Here is the process:
https://www.dropbox.com/s/cf15krxbmllihlp/insult_process.rmp
This is for one of the kaggle competition to classify user comments as insulting/not-insulting. It uses the following sub-process:
https://www.dropbox.com/s/hzdj0ef7kczouol/prep_text_data.rmp
Regards,
Yogesh
https://www.dropbox.com/s/cf15krxbmllihlp/insult_process.rmp
This is for one of the kaggle competition to classify user comments as insulting/not-insulting. It uses the following sub-process:
https://www.dropbox.com/s/hzdj0ef7kczouol/prep_text_data.rmp
Regards,
Yogesh
Thank you. If have created an internal bug report.
Hi,
the issue has been fixed and will be included in the next release.
Regards,
Marco
the issue has been fixed and will be included in the next release.
Regards,
Marco
Hi,
Perhaps a very stupid question, but the results presented in a confusion matrix are correct even with this bug (and can be used in scientific writings)?
Cheers
Sven
Perhaps a very stupid question, but the results presented in a confusion matrix are correct even with this bug (and can be used in scientific writings)?
Cheers
Sven
https://www.dropbox.com/s/0yjm2pdtw2a4zpm/1.png
https://www.dropbox.com/s/0btzchvmi1wi6iy/2.png