Decision trees are sometimes more interpretable than other classifiers such as neural networks and support vector machines because ... Maintaining a collection of good hypotheses, rather than ...

The large witness sizes of these trees, which can be as big as 300 MB, made him say that these trees are not good for ZK applications ... as they comprise vector components that are useful ...