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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