# Compute Cohen's kappa in multi-label classification

We have 2 different interpretations for our data. Here is an example:

Interpretation-1    Interpretation-2
Frame   tool1    Frame  tool1
1       0        1      1
2       1        2      2
3       1        3      2
4       1        4      3
5       2        5      3
6       2        6      3
7       0        7      1
8       0        8      0
..               ..


The tool1 interpretation represents the number of time this tool exists in the frame.

I know how to compute the Cohen's kappa for a binary classification problem but I didn't find any useful tutorial to compute it in such case.

• I take it you want to compare interpretation-1's tool1 measure and interpretation-2's tool1 measure, and these measures are both counts (i.e., ratio scales)? – Jeffrey Girard Apr 9 '17 at 0:07
• yep that's it.. – Maystro Apr 10 '17 at 7:38