Classification Rule - Table of Confusion

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.

Example confusion matrix
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


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