Skip to main content

Table 12 Confusion matrix

From: To supervise or to self-supervise: a machine learning based comparison on credit supervision

  Actual values
Positive (1) Negative (0)
Predicted values   
Positive (1) TP FP
Negative (0) FN TN
  1. where, True Positive (TP): Correctly predicted positive sample
  2. True Negative (TN): Correctly predicted negative sample
  3. False Positive (FP, also type-1 error): Negative sample mistakenly predicted as positive
  4. False Negative (FN, also type-2 error): Positive sample mistakenly predicted as negative