Model performance by age.

This table details the accuracy, sensitivity, specificity, precision, and recall for 8 classifiers (Table 1) and for 4 age ranges found in evaluation of 162 home videos with an average length of 2 minutes. We also provide the IRA, which indicates the frequency with which the model results from all 3 raters’ feature tags agreed on class. The top-performing classifier was LR5, which yielded an accuracy of 88.9%, sensitivity of 94.5%, and specificity of 77.4%. Other notable classifiers were SVM5 and LR10, which yielded 85.4% and 84.8% accuracy, respectively. These 3 best-performing classifiers showed improved classification power within certain age ranges.