Due to recent updates, all users are required to create an Altair One account to login to the RapidMiner community. Click the Register button to create your account using the same email that you have previously used to login to the RapidMiner community. This will ensure that any previously created content will be synced to your Altair One account. Once you login, you will be asked to provide a username that identifies you to other Community users. Email us at Community with questions.
How can I export conclusion from this confusion matrix table ?
GeorgeOik1999
Member Posts: 10 
Contributor II
in Help
I have 4 chest pain types , what is the actual correlation between reality and predictions? Should I take into account the recall or the precision?
0
Best Answer
-
BalazsBarany
Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert Posts: 955 
Unicorn
Hi!
The classical correlation is defined for two sets of numbers, it can't be calculated for this matrix. The accuracy (percentage of correct results) is what you get, and you are probably interested in the recall.
The importance of precision and recall (specificity and sensitivity) depends on the use case. Sometimes you're interested in a high recall for one class, sometimes in a high precision or the overall accuracy.
Here you have a very imbalanced data set with lots of ASY cases which skews the predictions into that direction. This results in a good recall for this class but bad values for the others. You might want to downsample that class, or use example weights so the models can predict the other classes better.
Regards,
Balázs1
Answers
Dortmund, Germany