What is confusion matrix?

Confusion matrix is a table that is used to measure the performance of the machine learning classification model(typically for supervised learning, in case of unsupervised learning it usually called matching matrix) where output can be two or more classes. Each row of the confusion matrix represents the instances in a predicted class while each column represents the instance in an actual class or vice versa.

Read more
Insert math as
Block
Inline
Additional settings
Formula color
Text color
#333333
Type math using LaTeX
Preview
\({}\)
Nothing to preview
Insert