Hello friends in this post we will discuss about Decision Tree Machine Learning Multiple Choice Questions and there answers.
Decision Tree is important topic in the Machine Learning chapter. These Notes are taken from Geeksforgeeks
1. Decision tree is the most powerful for ________
ANSWER= C) both a and b
Explain:-Decision tree is the most powerful for classification and prediction
2. Decision tree is a flowchart like_________
ANSWER= B) tree structure
Explain:-Decision tree is a flowchart like tree structure
3. Decision trees can handle_________
ANSWER= A) High dimensional data
Explain:- Decision trees can handle High dimensional data
4.Which of the following is not strength of Decision Tree ?
ANSWER= C) less appropriate for estimation tasks
Explain:-
5.Which of the following is not weakness of Decision Tree ?
ANSWER= A) able to generate understandable rule
Explain:-
6.Decision-tree algorithm falls under the category of ________
ANSWER= C) supervised learning algorithms
Explain:- Decision-tree algorithm falls under the category of supervised learning algorithms.
7.In Decision-tree algorithm At the beginning, we consider the whole training set as ________
ANSWER= B) root
Explain:- At the beginning, we consider the whole training set as root.
8._______is the measure of uncertainty of a random variable, it characterizes the impurity of an arbitrary collection of examples.
ANSWER= C) Entropy
Explain:- Entropy is the measure of uncertainty of a random variable, it characterizes the impurity of an arbitrary collection of examples.
9._______is a metric to measure how often a randomly chosen element would be incorrectly identified.
ANSWER=B) Gini Index
Explain:- Gini Index is a metric to measure how often a randomly chosen element would be incorrectly identified
