Table 2 Characteristics of the UCI Machine Learning Repository datasets.

From: Selective ensemble method for anomaly detection based on parallel learning

Dataset

Instances

Features

Abnormal rate (%)

Liver

345

6

1.38

Vehicle

846

17

2.88

Hepatitis

80

19

5.15

Balance

625

4

11.76

Derma

358

34

16.90

Yeast

1484

8

48.47

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