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Table 4 Overall performance of models

From: Predicting perinatal mortality based on maternal health status and health insurance service using homogeneous ensemble machine learning methods

Evaluation

Algorithms

Gradient boost (%)

Cat boost (%)

Random forest (%)

Accuracy

90.24

81.45

89.95

Precision

87.24

82.01

86.42

Recall

99.72

90.75

99.54

ROC

96.96

87.98

96.50

F1_Score

92.80

86.16

92.72

K-fold cross-validation for k = 10

94.72

88.26

90.78

Specificity

74.81%

82.01%

86.57%

  1. Bold indicates the algorithm that registered high performance
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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