Confusion Matrix, Test’s AccuracyThe new confusion matrix quick sheet is available for download.
In Predictive Analytics, a Table of Confusion, also known as a confusion matrix, is a table with two rows and two columns that reports the number of True Negatives (TP), False Positives (FP), False Negatives (FN), and True Positives (TP).
Some useful metrics provide a statistical scenario of the performance of a binary classification test. See also:
Filed under: Labels, Publishing | Tagged: accuracy, accuracy metrics, binary classification, confusion matrix, test
