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Table 6 Training time of different models (unit: s)

From: Solving the class imbalance problem using ensemble algorithm: application of screening for aortic dissection

 

AdaBoost

EasyEnsemble

Ensemble model

Random Forest

1st

3.4

185.3

55.0

0.36

2nd

4.2

191.2

58.4

0.31

3rd

4.0

191.2

54.8

0.31

4th

3.6

188.2

56.0

0.32

5th

3.7

191.2

57.6

0.39

6th

3.8

179.4

55.2

0.39

7th

4.7

185.3

58.1

0.31

Average

3.9

187.3

56.4

0.34