Table 1 Overall accuracy of the random forest models developed for classifying stickleback and whitefish using numerical feature descriptors (NFD) and the frequency response curves (FRC) estimated for training data through cross validation (CV accuracy) and for test data (Test accuracy). For CV accuracy, the mean accuracy and standard deviation was estimated through tenfold cross validation with three repeats.

From: Differentiation of two swim bladdered fish species using next generation wideband hydroacoustics