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Table 7 Evaluation metrics used in anomaly detection problems

From: Time series big data: a survey on data stream frameworks, analysis and algorithms

Metrics

Papers

# of Papers

Absolute error

[97]

1

Accuracy

[22, 36, 57, 64, 66, 67, 69, 70, 72, 73, 77]

11

AUC

[62, 65, 67]

3

Error rate

[64]

1

FPR

[37, 57, 61, 63, 64, 67, 70,71,72, 76, 77]

11

FNR

[61]

1

F-Score

[58, 70, 75]

3

F1-Score

[64, 66]

2

Loss

[67]

1

MCC

[74]

1

Precision

[58, 64, 66, 70]

4

Residual error

[75]

1

ROC

[60, 62, 65, 67, 70, 72, 75]

7

TP

[59]

1

TPR, sensitivity or recall

[57, 58, 63, 64, 66,67,68, 71, 76, 77]

10

# of distinct papers

25