Question

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

Select the correct answer from below given options:

a) Cannot say

b) Samples for leaf

c) Depth of tree

d) Number of samples used for split

Answer 1

Correct answer of the above question is :-  a) Cannot say

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.