Fig. 5.

a–c Pairwise classification performance of the top performing feature representations based on the full-neuron (a), axonal (b), and dendritic (c) features for each data set. Feature representations are grouped into density maps, morphometric statistics, morphometric distributions, persistence images, and combinations of the top three feature representations. Each shown value is cross-validated log-loss, averaged across all pairs. Error bars correspond to 95% confidence intervals. Chance-level log-loss equals $ln\left(2\right)\approx 0.69$ and is indicated in each panel. See Fig. S3a for the results using combined axonal+dendritic feature representations. d Cross-validated log-loss of multinomial classification. Chance level for each data set is indicated on the y-axis. See Fig. S3b for the results using axonal, dendritic, and combined axonal+dendritic feature representations