Confusion Matrix

machine-learning classification statistics

Definition

Confusion Matrix

A confusion matrix is a tabular representation utilised to describe the performance of a classification model. For a binary classification task, the matrix $C$ is structured as:

	Predicted Positive	Predicted Negative
Actual Positive	TP (True Positive)	FN (False Negative)
Actual Negative	FP (False Positive)	TN (True Negative)

This representation allows for the derivation of various performance metrics such as Accuracy, Precision, Recall, and F1-Score.