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Financial Innovation

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
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