Comment by crack-the-code

It's probably more likely that they want each output to be independent of the other. Certain features may be predominantly associated with a tiger, but not necessarily indicative of a terrestrial animal. If the 9.89% chance that they could have been wrong would have been the case, then that should not influence whether or not it was a terrestrial animal. In my opinion, the consumer of the output values should be able to rely on these fields independently, and make these associations themselves. Although I totally agree a second pass could be useful as a separate data set.