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1

Predicting health insurance uptake in Kenya using Random Fo..:

Yego, Nelson Kimeli Kemboi ; Nkurunziza, Joseph ; Kasozi, Juma.
PLOS ONE. 18 (2023) 11 - p. e0294166 , 2023

Link: https://doi.org/10.1371/..

2

S1 File -:

Nelson Kimeli Kemboi Yego ; Joseph Nkurunziza ; Juma Kasozi
doi:10.1371/journal.pone.0294166.s003. , 2023

Link: https://doi.org/10.1371/..

3

Variable importance from the XGBoost model:

Nelson Kimeli Kemboi Yego ; Joseph Nkurunziza ; Juma Kasozi
doi:10.1371/journal.pone.0294166.g004. , 2023

Link: https://doi.org/10.1371/..

4

Variable importance from the Random Forest model:

Nelson Kimeli Kemboi Yego ; Joseph Nkurunziza ; Juma Kasozi
doi:10.1371/journal.pone.0294166.g003. , 2023

Link: https://doi.org/10.1371/..

5

Mosaic plot:

Nelson Kimeli Kemboi Yego ; Joseph Nkurunziza ; Juma Kasozi
doi:10.1371/journal.pone.0294166.g006. , 2023

Link: https://doi.org/10.1371/..

6

S1 Appendix -:

Nelson Kimeli Kemboi Yego ; Joseph Nkurunziza ; Juma Kasozi
doi:10.1371/journal.pone.0294166.s001. , 2023

Link: https://doi.org/10.1371/..

7

S1 Data -:

Nelson Kimeli Kemboi Yego ; Joseph Nkurunziza ; Juma Kasozi
doi:10.1371/journal.pone.0294166.s002. , 2023

Link: https://doi.org/10.1371/..

8

The distribution of health insurance based on various facto..:

Nelson Kimeli Kemboi Yego ; Joseph Nkurunziza ; Juma Kasozi
doi:10.1371/journal.pone.0294166.t001. , 2023

Link: https://doi.org/10.1371/..

9

Variable importance from the Logistic Regression classifier:

Nelson Kimeli Kemboi Yego ; Joseph Nkurunziza ; Juma Kasozi
doi:10.1371/journal.pone.0294166.g005. , 2023

Link: https://doi.org/10.1371/..

10

Distribution plots of predicted probabilities:

Nelson Kimeli Kemboi Yego ; Joseph Nkurunziza ; Juma Kasozi
doi:10.1371/journal.pone.0294166.g007. , 2023

Link: https://doi.org/10.1371/..

11

Confusion matrices:

Nelson Kimeli Kemboi Yego ; Joseph Nkurunziza ; Juma Kasozi
doi:10.1371/journal.pone.0294166.g001. , 2023

Link: https://doi.org/10.1371/..

12

Model metrics trained on data balanced by oversampling:

Nelson Kimeli Kemboi Yego ; Joseph Nkurunziza ; Juma Kasozi
doi:10.1371/journal.pone.0294166.t003. , 2023

Link: https://doi.org/10.1371/..

13

Predicting health insurance uptake in Kenya using Random Fo..:

Nelson Kimeli Kemboi Yego ; Joseph Nkurunziza ; Juma Kasozi
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0294166&type=printable. , 2023

Link: https://doi.org/10.1371/..

14

Model performance metrics on imbalanced dataset:

Nelson Kimeli Kemboi Yego ; Joseph Nkurunziza ; Juma Kasozi
doi:10.1371/journal.pone.0294166.t002. , 2023

Link: https://doi.org/10.1371/..

15

The AUCs for the models:

Nelson Kimeli Kemboi Yego ; Joseph Nkurunziza ; Juma Kasozi
doi:10.1371/journal.pone.0294166.g002. , 2023

Link: https://doi.org/10.1371/..

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