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Table 5 The rank of the average performance of each resampling method

From: Joint modeling strategy for using electronic medical records data to build machine learning models: an example of intracerebral hemorrhage

 

Accuracy

Sensitivity

Specificity

AUC

Precision

F1 score

Sum*

Rank*

Original

1

6

1

2.5

1

3.5

15

2.5

RUS

2

5

2

2.5

2

1

14.5

1

ROS

3

3

3

1

3

2

15

2.5

ADASYN

4

4

4

5

4

3.5

24.5

4

BSMOTE*

5

2

5

4

5

5

26

5

SMOTEENN

6

1

6

6

6

6

31

6

  1. *BSMOTE: Borderline SMOTE; Lower rank is better; Sum = sum of ranks of six indicators; Rank = rank of sum of ranks
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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