What is Confusion Matrix with Respect to Machine Learning Algorithms?

[abhishek_acharya]

A Confusion Matrix (or error matrix) is a specific table that is used to measure the performance of an algorithm. It is mostly used in supervised learning in unsupervised learning, it’s called the matching matrix.


The confusion matrix has two parameters:

• Actual
  
  
• Predicted 
  

It also has identical sets of features in both of these dimensions.