Fig 1.
Features of knowledge flow of the included algorithms.
Fig 2.
Overall childhood vaccination status among children aged 12–23 months in Ethiopia, before and after data balancing, using the 2019 EDHS dataset.
Fig 3.
Workflow for data pre-processing, and childhood vaccination prediction processing.
Table 1.
Children’s and mothers’ characteristics, 2016 EDHS data (n = 1617).
Fig 4.
Children’s and mothers’ characteristics.
Fig 5.
The vaccination status of children aged 12–23 months with recommended vaccination types.
Fig 6.
Comparison of machine learning algorithms using the area under ROC value.
Table 2.
Model accuracy of the included machine learning algorithms Based on confusion matrix parameters.
Fig 7.
Important attributes selection, based on best performance algorithm (PART), to predict childhood vaccination among children aged 12–23 months in Ethiopia.
Table 3.
Information gain value for each predictor.