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Table 4 Description of a confusion matrix for binary classes with observed values and classifier predicted values

From: Genome-enabled prediction using probabilistic neural network classifiers

 

Classifier predicted value

Sum

1

0

Observed

1

tp

fn (Type II error)

tp + fn

0

fp (Type I error)

tn

fp + tn

Sum

tp + fp

fn + tn

n

  1. tp true positive, fp false positive, fn false negative, tn true negative, n total number of individuals