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. Author manuscript; available in PMC: 2021 Nov 15.
Published in final edited form as: Pediatr Dent. 2021 May 15;43(3):191–197.

Table 3.

AUTOMATED MACHINE LEARNING (AUTOML) MODEL-PREDICTED VERSUS ACTUAL EARLY CHILDHOOD CARIES (ECC) PROBABILITIES ACCORDING TO PARENTS’ REPORTS AND CHILDREN’S AGES

Age group Parent-reported child oral health status

ECC* probability Poor Fair Good Very good Excellent
3-year-old Predicted 0.88 0.74 0.54 0.40 0.31
Actual 1.00 0.83 0.55 0.36 0.24
4-year-old Predicted 0.90 0.79 0.63 0.47 0.35
Actual 0.96 0.86 0.66 0.46 0.29
5-year-old Predicted 0.91 0.82 0.69 0.51 0.38
Actual 0.90 0.87 0.73 0.50 0.36
*

ECC was defined as one or more decayed, restored, or extracted primary tooth surfaces due to caries (i.e., dmfs greater than zero) where caries lesions were considered at the International Caries Detection and Assessment System (ICDAS) threshold of greater than or equal to three.