Question

higher value of which of the following hyperparameters is better for decision tree algorithm

Answer 1

The answer cannot be said because if the value of the parameter increases then the performance can also increase.

Suppose in the depth of a tree,the data can overfit from the resulting data, it happens when the value of the depth of tree is higher.

The data is underfit when the value of the depth of tree is less.