Data Science Asked on November 22, 2021
Confusion matrix 2A three-class classifier is evaluated on a test set
of 900 samples which containsall three classes in equal
proportions.• Classes 2 and 3 are always classified correctly • Class 1 is confused with class 2 in 50% of the cases, and with class 3 in 20% of the cases.
Write down the confusion matrix!
Like the name "confusion matrix" already says, I’m confused.
I’m using a binary classification confusion matrix which looks like that
I show you this matrix, because there are a lot of different looking classification matrices with a different order of the true positives, true negatives and so on.
According to this task, I must use a three-class classifier matrix. So first I divided the 900 Samples to 3, so I get 300 for each class. Then I substracted 50% and 20% of 300 to get 90 samples for the first class.
I read, the row index is for the true class and the column index is, what the classifier says.
My confusion Matrix looks like this:
I think, the confusions of class 1 are false positives.
Did I write the matrix correctly?
No, you did it incorrectly, you need to switch rows with columns (transpose). Next time, please check if a similar question has not been asked before. For the explanation, see https://stats.stackexchange.com/questions/318780/how-to-understand-confusion-matrix-for-3x3 .
Answered by maksym33 on November 22, 2021
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