Also contained are:
Ways of rendering the metrics
Categorisation of the metrics
The perfect and worst possible scores (if possible to determine beforehand)
Whether the metric is symmetric (i.e. whether flipping the order of trajectories would change the expected value of the metric)
An object of class
tbl_df (inherits from
data.frame) with 19 rows and 10 columns.