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Journal of Big Data

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
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