The README states:
"We highly recommend using pruned trees with a depth between 3-7."
For my data, a depth of 3 rejects the fewest variables, increasing depth to 7 to a greater degree, and no pruning at all results in all variables being rejected.
I'm curious to know why this is, as I had expected that greater depth would afford greater sensitivity to subtle interactions between features.
The README states: "We highly recommend using pruned trees with a depth between 3-7."
For my data, a depth of 3 rejects the fewest variables, increasing depth to 7 to a greater degree, and no pruning at all results in all variables being rejected.
I'm curious to know why this is, as I had expected that greater depth would afford greater sensitivity to subtle interactions between features.