Extended Data Fig. 3: More candidates for active-learning refinement appear at behavior transitions.
From: A-SOiD, an active-learning platform for expert-guided, data-efficient discovery of behavior
a) Transition matrix for the frame annotation that happens before refinement candidates throughout A-SOiD (left), when compared to a random frame selection of these behaviors (right). b) Adjusted mutual information score as a metric to quantify similarity between prior frame (t-1) and refinement candidate/random selection (t). n=20 random seeds for sampling. Box spans first to third quartile, with the whiskers extending below first and beyond third quartiles by 1.5 times of inter-quartile range. One-sided t-test, p=8.887e-32. c) Transition matrix for the frame annotation that happens after refinement candidates throughout A-SOiD (left), in contrast to a random frame selection of these behaviors (right). d) Adjusted mutual information score as a metric to quantify similarity between next frame (t+1) and refinement candidate/random selection. n=20 random seeds for sampling. Box spans first to third quartile, with the whiskers extending below first and beyond third quartiles by 1.5 times of inter-quartile range. One-sided t-test, p=1.154e-34.
