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Which one of the following 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 Instagram Link
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