JOIN ADRE 2.0 Telegram Group

Classification in Data Mining MCQs | Classification in Data Mining Multiple Choice Questions and Answers

Questions
1 The problem of finding hidden structure in unlabeled data is called
A Supervised learning
B Unsupervised learning
C Reinforcement learning
D None of these

Answer: Unsupervised learning
2 Some telecommunication company wants to segment their customers into distinct groups in order to send appropriate subscription offers, this is an example of
A Supervised learning
B Data extraction
C Serration
D Unsupervised learning

Answer: Unsupervised learning
Advertisement
Article and Schedule Quiz Start Test!

DOWNLOAD CURRENT AFFAIRS PDF FROM APP

3 Self-organizing maps are an example of
A Unsupervised learning
B Supervised learning
C Reinforcement learning
D Missing data imputation

Answer: Unsupervised learning
4 In the example of predicting number of babies based on storks’ population size, number of babies is
A outcome
B feature
C attribute
D observation

Answer: outcome
5 Which of the following issue is considered before investing in Data Mining?
A Functionality
B Vendor consideration
C Compatibility
D All of the above

Answer: All of the above
6 SET concept is used in
A Network Model
B Hierarchical Model
C Relational Model
D None of these

Answer: None of these
7 Data independence means
A Data is defined separately and not included in programs
B Programs are not dependent on the physical attributes of data
C Programs are not dependent on the logical attributes of data
D Both (B) and (C)

Answer: Both (B) and (C)
8 A definition or a concept is if it classifies any examples as coming within the concept
A Complete
B Consistent
C Constant
D None of these

Answer: Consistent
9 A definition of a concept is if it recognizes all the instances of that concept
A Complete
B Consistent
C Constant
D None of these

Answer: Complete
10 Black boxes are
A This takes only two values. In general, these values will be 0 and 1 and they can be coded as one bit
B The natural environment of a certain species
C Systems that can be used without knowledge of internal operations
D None of these

Answer: Systems that can be used without knowledge of internal operations
11 Data mining is
A The actual discovery phase of a knowledge discovery process
B The stage of selecting the right data for a KDD process
C A subject-oriented integrated time variant non-volatile collection of data in support of management
D None of these

Answer: The actual discovery phase of a knowledge discovery process
12 E-R model uses this symbol to represent weak entity set?
A Dotted rectangle
B Diamond
C Doubly outlined rectangle
D None of these

Answer: Doubly outlined rectangle
13 In a relation
A Ordering of rows is immaterial
B No two rows are identical
C (A) and (B) both are true
D None of the above

Answer: (A) and (B) both are true
14 Key to represent relationship between tables is called
A Primary key
B Secondary Key
C Foreign Key
D None of these

Answer: Foreign Key
15 ________ produces the relation that has attributes of Ri and R2
A Cartesian product
B Difference
C Intersection
D Product

Answer: Cartesian product
16 Classification accuracy is
A A subdivision of a set of examples into a number of classes
B Measure of the accuracy, of the classification of a concept that is given by a certain theory
C The task of assigning a classification to a set of examples
D None of the above

Answer: Measure of the accuracy, of the classification of a concept that is given by a certain theory
17 Biotope are
A This takes only two values. In general, these values will be 0 and 1 and they can be coded as one bit
B The natural environment of a certain species
C Systems that can be used without knowledge of internal operations
D None of these

Answer: The natural environment of a certain species
18 Cluster is
A Group of similar objects that differ significantly from other objects
B Operations on a database to transform or simplify data in order to prepare it for a machine-learning algorithm
C Symbolic representation of facts or ideas from which information can potentially be extracted
D None of these

Answer: Group of similar objects that differ significantly from other objects
19 You are given data about seismic activity in Japan, and you want to predict a magnitude of the next earthquake, this is in an example of
A Supervised learning
B Unsupervised learning
C Serration
D Dimensionality reduction

Answer: Supervised learning
20 Assume you want to perform supervised learning and to predict number of newborns according to size of storks’ population (http://www.brixtonhealth.com/storksBabies.pdf), it is an example of
A Classification
B Regression
C Clustering
D Structural equation modeling

Answer: Regression

ADRE 2.0 FULL LENGTH MOCK TEST

Take Mock Tests

Missiles Mock Test Start Test!
SSC MTS Mock Test Start Test
IBPS CLERK MOCK TEST Start Test
SSC MTS 2022 JULY 26 Shift 1 (ENGLISH) Start Test!
SSC GD Previous Year Paper 2021 Nov 17 Shift - I (Hindi) Start Test!
SSC CGL Tier - 1 PYP 2022 April 21 Shift- 1 (ENGLISH) Start Test!
MPSC PAPER I MOCK TEST 1 (ENGLISH) Start Test!
IB Security Assistant Mock test 1 (english) Start Test!
UP POLICE CONSTABLE MOCK TEST 1 Start Test!
DELHI POLICE CONSTABLE MOCK TEST 1 (HINDI) Start Test!
Advertisement
Assam Direct Recruitment Test Series