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Table 5 Accuracy analysis of skilled delivery prediction sub-models in Ethiopia in 2016

From: Predicting skilled delivery service use in Ethiopia: dual application of logistic regression and machine learning algorithms

Sub model

Algorithm

Accuracy

Sensitivity

Specificity

AUC

PPV

NPV

Time (in Seconds)

I

J48

98.0%

96.2%

99.9%

98.0%

99.9%

96.1%

0.09

II

ANN

97.8%

98.4%

99.8%

98.6%

99.8%

95.4%

8.91

III

SVM

97.8%

94.8%

99.9%

97.8%

99.9%

95.5%

15.94

IV

Naïve Bayes

96.9%

95.1%

97.5%

98.8%

97.6%

94.9%

0.02