Consider the Decision Tree shown below. Which statements apply to this tree in terms of how it may have been constructed, the underlying data set, and how it is performing

classification. Select ALL that apply, there may be more than $1.$

$[$You can assume that all less than or equal to amounts send items to the left in the tree$][$You can assume that all less than or equal to amounts send items to the left in the tree$]$

There is one and only exactly one pure node in the tree, and this node corresponds to class $3$

This tree could have been constructed with the hyperparameters min$\_$samples$\_$split $=25,$ min$\_$samples$\_$leaf $=61$

There are $4$ classes for the target

The most impure node in the tree is the root

We know for certain that there were $200$ total observations and at least $5$ features in the original data set

The classes in the data set are balanced, but not perfectly balanced $($close but not exactly the same$)$

More observations have a value for A that is less than $-0\mathrm{.}461$ as opposed to greater than or equal to $-0\mathrm{.}461$