Confusion Matrix

A Confusion Matrix is a table that is often used to describe the performance of a classification model on a set of testing data for which the true values are known.

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A Confusion Matrix is a technique using a chart or table for summarizing the performance of a classification based AI model by listing the predicted values of an AI model and the actual/correct outcomes.

A Confusion table includes both predictive and actual values in context of AI model.

Actual values: It represent actual result or real values. It is denoted by True or False.

Predictive values: It represent the outcome or result produced on the basis of its algorithm and learning. It is denoted by Positive or Negative.