R, the method required for a decision tree with a categorical dependent variable is

In structural induction, the _____ is a supposition that the ________ holds on elements of the set that are smaller than the element we are concerned about.

C＋＋

class BSTNode  {      int key;      BSTNode left, right;        public BSTNode(int item) {            key = item;            left = right = null;      } }     class BST_Tree  {            BSTNode root;        BST_Tree()  {   // Constructor            root = null;      }       boolean search(int key){         return (searchRec(root, key) != null);     }          public BSTNode searchRec(BSTNode root, int key) {          if (root==null || root.key==key)            return root;              if (root.key > key)            return searchRec(root.left, key);              return searchRec (root.right, key);     }              void deleteKey(int key) {            root = deleteRec(root, key);      }      /* A recursive function to insert a new key in BST */      BSTNode deleteRec(BSTNode root, int key) {            /* Base Case: If the tree is empty */            if (root == null) return root;              /* Otherwise, recur down the tree */            if (key < root.key)…

Implement LeafNode and InteriorNode classes for the expression tree as discussed on this page Use this template:  Please don't change any function namesAdd any methods if necesssaryTODO: Remove the pass statements and implement the methods. '''class LeafNode:def __init__(self, data):self.data = datadef postfix(self):return str(self)def __str__(self):return str(self.data)def prefix(self):passdef infix(self):passdef value(self):return self.dataclass InteriorNode:def __init__(self, op, left_op, right_op):self.op = opself.left_op = left_opself.right_op = right_opdef postfix(self):return self.left_op.postfix() + " " + self.right_op.postfix() + " " + self.opdef prefix(self):passdef infix(self):passdef value(self):passif __name__ == "__main__":# TODO: (Optional) your test code here.a = LeafNode(4)b = InteriorNode('+', LeafNode(2), LeafNode(3))c = InteriorNode('*', a, b)c = InteriorNode('-', c, b)

class BSTNode  {      int key;      BSTNode left, right;        public BSTNode(int item) {            key = item;            left = right = null;      } }     class BST_Tree  {            BSTNode root;        BST_Tree()  {   // Constructor            root = null;      }       boolean search(int key){         return (searchRec(root, key) != null);     }          public BSTNode searchRec(BSTNode root, int key) {          if (root==null || root.key==key)            return root;              if (root.key > key)            return searchRec(root.left, key);              return searchRec (root.right, key);     }              void deleteKey(int key) {            root = deleteRec(root, key);      }      /* A recursive function to insert a new key in BST */      BSTNode deleteRec(BSTNode root, int key) {            /* Base Case: If the tree is empty */            if (root == null) return root;              /* Otherwise, recur down the tree */            if (key < root.key)…

8. Following is the node class: class node { int v node *next: public: node(int x) {v=x; next3D03;} friend class list: }3; Implement the sequential list class below: class list { // circular list class // head position node *head; public: bool empty() { return !head;} list() {head-0;} ~list(); void add(int x); int get(); // empty list judgment / constructor // destructor, to be implemented // add to tail, to be implemented // get from head, to be implemented }3B

class BSTNode  {      int key;      BSTNode left, right;        public BSTNode(int item) {            key = item;            left = right = null;      } }     class BST_Tree  {            BSTNode root;        BST_Tree()  {   // Constructor            root = null;      }       boolean search(int key){         return (searchRec(root, key) != null);     }          public BSTNode searchRec(BSTNode root, int key) {          if (root==null || root.key==key)            return root;              if (root.key > key)            return searchRec(root.left, key);              return searchRec (root.right, key);     }              void deleteKey(int key) {            root = deleteRec(root, key);      }      /* A recursive function to insert a new key in BST */      BSTNode deleteRec(BSTNode root, int key) {            /* Base Case: If the tree is empty */            if (root == null) return root;              /* Otherwise, recur down the tree */            if (key < root.key)…

pls code in pythonApply a Bagging model that consists of 10 base decision trees for classifying the events as normal or anomalous. Fill in the myBagging function, which accepts as input the training set and returns a fully trained model.Below is the template def myBagging(Xtrain, ytrain):  #write function here   return myBagging

Draw a UML class diagram for the following code: class Node:    def __init__(self, value):        self.value = value        self.next = None class Stack:    def __init__(self):        self.top = None     def isEmpty(self):        return self.top is None     def push(self, item):        new_node = Node(item)        new_node.next = self.top        self.top = new_node     def pop(self):        if self.isEmpty():            raise Exception("Stack is empty")        popped_item = self.top.value        self.top = self.top.next        return popped_item     def popAll(self):        items = []        while not self.isEmpty():            items.append(self.pop())        return items[::-1]     def peek(self):        if self.isEmpty():            raise Exception("Stack is empty")        return self.top.value # Verificationstack = Stack()print("Is stack empty?", stack.isEmpty()) stack.push(10)stack.push(20)stack.push(30)print("Top item:", stack.peek()) print("Popped item:", stack.pop())print("Popped…