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.