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Confusion Matrix is mainly used machine language and deep learning field to evaluate the perfomance of model,by showing all its predicted value in a table. It is mainly used to evaluate classification model(classifier) by calculating precision,recall and f1 score using confusion matrix. As name suggest it create confusion in terminalogy which is used in table.when In the dog vs cat example we have designed and trained model to predict two values which is either dog or cat . To create confusion matrix we need to take one item at a time .In the our case we are taking first dog then we will create four values that is TP,TN,FP,FN.