Confusion matrices of RF classifier accuracy. (A–H) Classifier accuracy for each perturbation by classifier input features. The y axis is the true perturbation class, and the x axis represents classifier prediction. As each of the twitches receives a classifier prediction the sum of a row is 1.0, and each square represents the proportion of twitches that were assigned to the class on the x axis. The darker shades of the heat map correspond to larger proportions of twitches predicted to fall within a given class.