Assignment 12 solution

Choose from the following that are Decision Tree nodes?

• Decision Nodes

• End Nodes

• Chance Nodes

• All of these

What are the advantages of Classification and Regression Trees (CART)?

• Decision trees require relatively less effort from users for data preparation

• Nonlinear relationships between parameters do not affect tree performance.

• Both (A) and (B)

• None of these

What are the disadvantages of Classification and Regression Trees (CART)?

• Decision trees can be unstable because small variations in the data might result in a completely different tree being generated

• Decision trees require relatively less effort from users for data preparation

• Nonlinear relationships between parameters do not affect tree performance.

• Decision trees implicitly perform variable screening or feature selection

Suppose, your target variable is whether a passenger will survive or not using Decision Tree. What type of tree do you need to predict the target variable?

• classification tree

• regression tree

• clustering tree

• dimensionality reduction tree

What is the maximum depth in a decision tree?

• the length of the longest path from a root to a leaf

• the length of the shortest path from a root to a leaf

• the length of the longest path from a root to a sub-node

• None of these

Suppose in a classification problem, you are using a decision tree and you use the Gini index as the criterion for the algorithm to select the feature for the root node. The feature with the _____ Gini index will be selected.

• maximum

• highest

• least

• None of these

In Decision Trees, for predicting a class label, the algorithm starts from which node of the tree?

• Root

• Leaf

• Terminal

• Sub-node

What is splitting in the decision tree?

• Dividing a node into two or more sub-nodes based on if-else conditions

• Removing a sub-node from the tree

• Balance the dataset prior to fitting

• All of the above

State True or False: Leaf node in a decision tree will have entropy value equal to 0

• True

• False

State True or False: Entropy is the measure of uncertainty of a random variable

• True

• False