Figure 5
From: Machine learning accurately classifies age of toddlers based on eye tracking
Single-trial classification results. Distribution of the single-trial classification performances. Each point indicates the sensitivity (0.52 ± 0.14, mean ± SD) and specificity (0.62 ± 0.19, mean ± SD) of a single-trial classifier, while its color indicates the classification accuracy (0.57 ± 0.09, mean ± SD). The black point indicates the majority voting result (accuracy = 0.70).
