(A) Within-fly and (B) across-fly classification at each individual channel set using individual φ values for each mechanism size (orange, green, pale and dark blue are 1-, 2-, 3-, and 4-channel mechanisms, respectively; single-feature classification), when using the IIS (i.e. all mechanisms together, 15-feature classification, red), and when using Φ (single-feature classification, black). Individual points are classification accuracy of each channel set, after averaging accuracies across all mechanisms within the same mechanism size. Boxplots show median, 25th-75th percentiles, and whiskers are 1.5 interquartile below and above respectively. (C-F) Spatial map of classification accuracy (same format as in Fig 3). Within-fly (C) and across-fly (D) classification accuracies when using the IIS. Within-fly (E) and across-fly (F) classification accuracies when using Φ.