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Table 2 The performance of machine learning models

From: Application of machine learning to identify risk factors of birth asphyxia

Algorithms

TP

TN

FP

FN

Accuracy

Precision

Recall

F_1 Score

Decision Tree Classification

1981

1740

51

11

98%

97%

99%

98%

Random Forest Classification

1984

1777

14

8

99%

99%

99.6%

99%

Permutation Feature Classification with KNN

1983

1729

62

9

98%

96%

99%

98%

Deep Learning

1951

1771

41

20

98%

99%

98%

98%

  1. TP: True Positive; TN: True Negative; FP: False Positive; FN: False Negative