Q.no 31. When do you consider an association rule interesting?
A : If it only satisfies minimum support
B : If it only satisfies minimum confidence
C : If it satisfies both minimum support and minimum confidence
D : There are other measures to check interesting rules
Answer for Question No 31. is c
Q.no 32. What is the approach of basic algorithm for decision tree induction?
A : Greedy
B : Top Down
C : Procedural
D : Step by Step
Answer for Question No 32. is a
Q.no 33. What do you mean by support(A)?
A : Total number of transactions containing A
B : Total Number of transactions not containing A
C : Number of transactions containing A / Total number of transactions
D : Number of transactions not containing A / Total number of transactions
Answer for Question No 33. is c
Q.no 34. Which of the following probabilities are used in the Bayes theorem.
A : P(Ci|X)
B : P(Ci)
C : P(X|Ci)
D : P(X)
Answer for Question No 34. is a
Q.no 35. In which step of Knowledge Discovery, multiple data sources are combined?
A : Data Cleaning
B : Data Integration
C : Data Selection
D : Data Transformation
Answer for Question No 35. is b
Q.no 36. The Galaxy Schema is also called as
A : Star Schema
B : Snowflake schema
C : Fact constellation
D : Database schema
Answer for Question No 36. is c
Q.no 37. Handwritten digit recognition classifying an image of a handwritten number into a digit from 0 to 9 is example of
A : Multiclassification
B : Multi-label classification
C : Imbalanced classification
D : Binary Classification
Answer for Question No 37. is a
Q.no 38. What type of data do you need for a chi-square test?
A : Categorical
B : Ordinal
C : Interval
D : Scales
Answer for Question No 38. is a
Q.no 39. For a classification problem with highly imbalanced class. The majority class is observed 99% of times in the training data. Your model has 99% accuracy after taking the predictions on test data. Which of the following is not true in such a case?
A : Imbalaced problems should not be measured using Accuracy metric.
B : Accuracy metric is not a good idea for imbalanced class problems.
C : Precision and recall metrics aren’t good for imbalanced class problems.
D : Precision and recall metrics are good for imbalanced class problems.
Answer for Question No 39. is c
Q.no 40. Which of the following property typically does not hold for similarity measures between two objects ?
A : Symmetry
B : Definiteness
C : Triangle inequality
D : Transitive
Answer for Question No 40. is c
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