What is a confusion matrix?

Data Science, AI and ML
#1

What is a confusion matrix ?

#2

We use the confusion matrix to evaluate the performance of a classification model. In this example, we are using a classifier to predict whether it is a dog or a cat. My main aim is to make you understand the intuition behind the terminologies.

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Confusion Matrix

TRUE POSITIVE (TP): Prediction is a dog and actually a dog.

TRUE NEGATIVE (TN): Prediction is a cat and actually a cat.

FALSE POSITIVE (FP): Prediction is a dog and actually a cat. Also known as “ TYPE I ERROR ”.

FALSE NEGATIVE (FN): Prediction is a cat and actually a dog. Also known as “ TYPE II ERROR ”.