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Confusion about Confusion Matrix (pun intended)
Contributor II
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%)?
0
Answers
https://www.dropbox.com/s/0yjm2pdtw2a4zpm/1.png
https://www.dropbox.com/s/0btzchvmi1wi6iy/2.png
Best regards,
Marius
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
the issue has been fixed and will be included in the next release.
Regards,
Marco
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