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Table 24 The average execution time of the proposed method in 5 experimental repetitions of 10-fold CV

From: A multi-manifold learning based instance weighting and under-sampling for imbalanced data classification problems

Name

#Attributes

#Examples

Run time (second)

ecoli1

7

336

1.52

ecoli2

7

336

1.53

ecoli3

7

336

1.43

ecoli4

7

336

1.44

ecoli0147vs56

6

332

1.59

ecoli034_5

7

200

0.85

ecoli0147_2356

7

336

1.55

glass0

9

214

0.77

glass0123456

9

214

0.79

kddcup-buffer_overflow_vs_back

41

2233

6.72

kddcup-rootkit-imap_vs_back

41

2225

1.00

kddcup-guess_passwd_vs_satan

41

1642

8.40

kddcup-land_vs_portsweep

41

1061

0.52

kddcup-land_vs_satan

41

1610

0.82

new-thyroid1

5

215

0.75

page-blocks-1-3_vs_4

10

472

1.92

pima

8

768

3.34

segment0

19

2308

8.87

shuttle_2_vs_5

9

3316

43.09

vehicle2–1

18

846

2.34

vowel0

13

988

6.25

wisconsin

9

683

2.27