[jebarker]

The killer feature of DTs is how fast they can be. I worked very hard on a project to try and replace DT based classifiers with small NNs in a low latency application. NNs could achieve non-trivial gains in classification accuracy but remained two orders of magnitude higher latency at inference time.

[levocardia]

Also, decision trees (but not their boosted or bagged variants) are easy (well, easy-ish) to port manually to an edge device that needs to run inference. Small vanilla NNs are as well, but many other popular "classical" ML algorithms are not.

[bawis]

>> but many other popular "classical" ML algorithms are not

Examples ?