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Confusion matrix
Confusion matrix represents the difference between the actual and predicted classifications of a model. It is used to easily recognize how often a classification system mislabels one classification as another.
A confusion matrix is a table that is used to define the performance of a classification algorithm. A confusion matrix visualizes and summarizes the performance of a classification algorithm.
Confusion matrix is a table used in machine learning and statistics to assess the performance of a classification model.

What is the function of confusion matrix in R ?
In R Programming the Confusion Matrix can be visualized using confusionMatrix() function which is present in the caret package. where, data – a factor of predicted classes. reference – a factor of classes to be used as the true results.
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