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
Famous quotes containing the words table and/or confusion:
“They were not on the table with their elbows.
They were not sleeping in the shelves of bunks.
I saw no men there and no bones of men there.”
—Robert Frost (1874–1963)
“Behind her was confusion in the room,
Of chairs turned upside down to sit like people
In other chairs, and something, come to look,
For every room a house has parlor, bedroom,
And dining room thrown pell-mell in the kitchen.”
—Robert Frost (1874–1963)