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Table 3 Prediction analysis of the drop out from the MNCH continuum using combined DHS surveys data for the DRC, Kenya and Tanzania (2013–2016)

From: Predicting the drop out from the maternal, newborn and child healthcare continuum in three East African Community countries: application of machine learning models

Algorithm

Accuracy

Precision

Recall

Specificity

F score

Logistic regression

74.3

77.2

92.2

53.5

84.0

Random Forest

75.7

79.1

92.1

51.6

85.1

Decision tree

75.2

78.6

92.0

51.6

84.8

SVM

75.3

78.8

91.9

51.0

84.8

ANN

75.4

78.5

92.3

53.3

84.8