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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