Fig. 3
From: Animal-borne acoustic data alone can provide high accuracy classification of activity budgets
Performances of the algorithm (after classification and revision) on the labelled data set (data points correspond to time segments ~ 1.4 s) summed over all individual bird files (4 individuals). The confusion matrices (squared 3 * 3 matrices) shows the number of correctly classified events (True Positives, TP) for each class on the diagonal, the number of False Positive (FP) per column for each class (except the value on diagonal) and the number of False Negative (FN) per line for each class (except the value on diagonal). Performance indices of Precision (TP/(TP + FP)) and Sensitivity (TP/(TP + FN)) are shown for each class on the bottom row and right column, respectively