Final answer:
Increasing the value of the hyperparameter min_samples_leaf results in a bigger tree than the tree with the default value.
Step-by-step explanation:
If we increase the value of the hyperparameter min_samples_leaf from the default value, we would end up getting a bigger tree than the tree with the default value. The min_samples_leaf parameter determines the minimum number of samples required to be at a leaf node. When we increase this value, we are imposing a constraint on the tree to have more samples at each leaf, which leads to bigger trees.