Table 3 Machine learning approach and metrics for adults and elders in the whole country and divided by geographic regions

Sensitivity

0.38

Sensitivity

0.66

Specificity

0.97

Specificity

0.74

Acuraccy

0.90(CI95% ± 0.01)

Acuraccy

0.70(CI95% ± 0.01)

AUC

0.90 (CI95% ± 0.01)

AUC

0.77(CI95% ± 0.01)

Three Main contributors

importance*

Three Main contributors

importance*

Age

0.58

Last dental Visit**

0.43

Schooling

0.18

Schooling

0.22

Dental Floss**

0.13

Age

0.20

Metrics by region

Southwest

n = 13,610

n = 5825

Sensitivity

0.39

Sensitivity

0.78

Specificity

0.98

Specificity

0.66

Acuraccy

0.93(CI95% ± 0.01)

Acuraccy

0.73(CI95% ± 0.03)

AUC

0.91(CI95% ± 0.01)

AUC

0.80(CI95% ± 0.02)

Main contributor

Main contributor

Age

0.49

Dental Visit

0.38

South

n = 7969

n = 3307

Sensitivity

0.39

Sensitivity

0.80

Specificity

0.97

Specificity

0.60

Acuraccy

0.91(CI95% ± 0.01)

Acuraccy

0.71(CI95% ± 0.03)

AUC

0.91(CI95% ± 0.01)

AUC

0.77(CI95% ± 0.03)

Main contributor

Main contributor

Age

0.49

Dental Visit

0.40

Widwest

n = 7808

n = 2373

Sensitivity

0.30

Sensitivity

0.72

Specificity

0.97

Specificity

0.66

Acuraccy

0.90(CI95% ± 0.02)

Acuraccy

0.69(CI95% ± 0.04)

AUC

0.90 (CI95% ± 0.02)

AUC

0.76(CI95% ± 0.04)

Main contributor

Main contributor

Age

0.55

Dental Visit

0.41

Northwest

n = 22,966

n = 7736

Sensitivity

0.41

Sensitivity

0.59

Specificity

0.96

Specificity

0.80

Acuraccy

0.88 (CI95% ± 0.01)

Acuraccy

0.71(CI95% ± 0.02)

AUC

0.88 (CI95% ± 0.01)

AUC

0.75(CI95% ± 0.02)

Main contributor

Main contributor

Age

0.62

Dental Visit

0.38

North

n = 13.450

n = 3487

Sensitivity

0.29

Sensitivity

0.58

Specificity

0.97

Specificity

0.75

Acuraccy

0.89 (CI95% ± 0.01)

Acuraccy

0.67(CI95% ± 0.03)

AUC

0.89 (CI95% ± 0.01)

AUC

0.71(CI95% ± 0.03)

Main contributor

Main contributor

Age

0.69

Age

0.38