Precision and Recall Confusion matrix I was wondering, is it a proper method to convey information via separate Recall and Precision Confusion matrix? I recently came across a paper which reported the following scores. I am puzzled and unable to interpret them. Is this a usual standard in the academics?

Edit 1: The paper is related to activity recognition.
No. A confusion matrix is by definition a tabulation of real classes and predicted classes per subject. I've seen relative counts but they are not standard.

According to Wikipedia:


  Each row of the matrix represents the instances in a predicted class while each column represents the instances in an actual class (or vice versa).


The matrices listed above don't do that, so they are not confusion matrices. I'm not familiar with this format, and I don't think it is an academic standard. I'm not really sure how to interpet them, in that sense they are confusing matrices.

PS: You can obtain precision and recall from a confusion matrix.