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Table 1 Machine learning results

From: Application of machine learning models in predicting length of stay among healthcare workers in underserved communities in South Africa

 

Techniques

Multinomial logistic

Decision tree

Naive Bayes

Accuracy

47.34% [1.63]

45.82% [1.69]

47.01% [1.62]

95% CI

(46.22, 50.84)

(46.66, 51.28)

(45.19, 49.81)

AUC

0.6652

0.6635

0.6602

No information rate [NIR]

0.376

0.376

0.376

P value [Acc > NIR]

< 2.2e−16

< 2.2e−16

< 2.2e−16

Cohen’s Kappa

0.2658

0.2649

0.2521

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Human Resources for Health

ISSN: 1478-4491