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Table 9 Confusion matrix where the positive class are faults and the negative class are normal data points

From: Sensor data quality: a systematic review

  Actual positive Actual negative
Predicted positive True positive (TP) False positive (FP)
Predicted negative False negative (FN) True negative (TN)
  1. Thus, TP faults correctly predicted as faults, FP normal data point incorrectly predicted as fault (Type I error), FN fault incorrectly predicted as normal data point (Type II error) and TN normal data point correctly predicted as normal data point