Table of Confusion
When the classification function is not perfect, false results will appear. The example confusion matrix below, of the 8 actual cats, a function predicted that three were dogs, and of the six dogs, it predicted that one was a rabbit and two were cats. We can see from the matrix that the system in question has trouble distinguishing between cats and dogs, but can make the distinction between rabbits and other types of animals pretty well.
| Predicted | ||||
|---|---|---|---|---|
| Cat | Dog | Rabbit | ||
| Actual | Cat | 5 | 3 | 0 |
| Dog | 2 | 3 | 1 | |
| Rabbit | 0 | 2 | 11 | |
When dealing with binary classifications these concepts are simpler
Read more about this topic: Classification Rule
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