1. To remove sub-nodes of a decision node, _________is used.

A . Clustering

B . Classification

C . Regression

D . Pruning

Answer

2. A rule-based classifier uses a set of IF-THEN rules for classification. Which of the following is the correct form of IF-THEN rule?					

A . IF conclusion THEN condition

B . IF THEN condition conclusion

C . IF condition THEN conclusion

D . None of the above

Answer

3. _____ network models capture both conditionally dependent and conditionally independent relationships between random variables.	

A . Bayes

B . Bayesian Belief

C . both

D . none

Answer

4. ID3 use _____________ attribute selection measure.	

A . Information Gain

B . Gain Ratio

C . Gini Index

D . Tree pruning.

Answer

5. Decision tree builds _____________________models in the form of a tree structure

A . classification

B . regression

C . both

D . none

Answer

6. Identify the term used to define the task of inferring a model from labeled training data. 

A . Supervised Learning

B . Unsupervised Learning

C . Reinforcement Learning

D . None of the above

Answer

7. Naive Bayes classifiers are a collection of classification algorithms based on___

A . Naive concept

B . Bayes theorem

C . Duch rule

D . None

Answer

8. ______________________ is a type of data mining technique that is used to builds classification models in the form of a tree-like structure.		

A . Naive bayes Classifier

B . Decision Tree

C . K-Nearest Neighbor

D . None of the above

Answer

9. Which of the following is invalid to choose the Value of K in the K-NN Algorithm?

A . The commonly used value of K is 5.

B . Choosing a very low value will most likely lead to inaccurate predictions

C . Always use an even number as the value of K.

D . If the input data has more outliers, a higher value of k would be better

Answer

10.) _______errors are the expected errors generated by a model because of unknown records.

A . Training

B . Generalization

C . Test

D . Misclassification

Answer

11.) A classification model can overfit the test data due to presence of_________.

A . Data

B . Information

C . Light

D . Noise

Answer

12.)  An association rule can be extracted from a given itemset by using a level-wise approach.

A . Frequent

B . Candidate

C . Similar

D . Infrequent

Answer

13.) If attribute A is_________________, then one branch is grown for each known value of A.

A . discrete-valued

B . continuous-valued

C . discrete-valued and a binary

D . None of the above

Answer

Fill in the Blanks

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14. P(H/X)=______________________________________________

Answer

15. Is discrimination between spam and ham emails a classification task? (True/False) ___________________.

Answer

16. Data classification is a two-step process, consisting of a __________________ and ___________________.

Answer

17. _____________________ is a statistical technique used to classify the data based on probabilistic reasoning.

Answer

18. ___________results in a simple tree and produces, the least impurity in the partition.

Answer

19. The accuracy of classification model is evaluated using the formula____________

Answer

20. ___________ of a decision tree has only one incoming edge and no outgoing.

Answer

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