Data Mining - ISZC415
Comprehensive Examination Question Paper - 2017 Makeup
BITS PILANI WILP MTec Software Systems
Showing posts with label Data Mining. Show all posts
Showing posts with label Data Mining. Show all posts
Data Mining IS ZC415 Comprehensive Question Paper - 2017 Regular BITS PILANI WILP MTec Software Systems
Data Mining IS ZC415
Comprehensive Question Paper - 2017 Regular
BITS PILANI WILP MTec Software Systems
Data Mining - SZC415 - Comprehensive Question Paper - 2016-2017 Regular BITS PILANI WILP
Data Mining - SZC415
Comprehensive Question Paper - 2016-2017 Regular BITS PILANI WILP
Data Mining - ISZC415 - Quiz 2 - BITS- WILP
Data Mining - ISZC415 - Quiz 2
BITS- WILP - MTEC
1. The entropy of a fair coin toss is:
Select one:
a. 0.25
b. 0.5
c. 1
d. 0
Ans: c. 1
2. A quiz question had names of 10 algorithms of which the student
had to select only the classification algorithms. A student
identified 7 of them as classification algorithms. During evaluation
it was found that 5 of the algorithms identified by the student were
indeed classification algorithms. The student was unable to identify
2 other classification algorithms in the list.
The F-score is:
Select one:
a. 0.59
b. 0.41
c. 0.69
d. 0.71
Ans: d. 0.71
3. Hash tree is created from:
Select one:
a. transactions
b. frequent itemsets
c. strong rules
d. candidate itemsets
Ans: d. candidate itemsets
4. The following data is about a poll that occurred in 3 states. In
state1, 50% of voters support Party1, in state2, 60% of the voters
support Party1, and in state3, 35% of the voters support Party1. Of
the total population of the three states, 40% live in state1, 25%
live in state2, and 35% live in state3. Given that a voter supports
Party1, what is the probability that he lives in state2?
Select one:
a. 0.52
b. 0.42
c. 0.32
d. 0.22
Ans: c. 0.32
5. A quiz question had names of 6 algorithms of which the student had
to select only the classification algorithms. A student identified 3
of them as classification algorithms. During evaluation it was found
that 2 of the algorithms identified by the student were indeed
classification algorithms. The student was unable to identify 2 other
classification algorithms in the list.
The recall is:
Select one:
a. 0.33
b. 0.5
c. 0.73
d. 0.6
Ans: b. 0.5
6. The table below shows marks in math (x) and marks in statistics
(y).
What is the value of the slope (m) of simple regression line ?
Select one:
a. 0.744
b. 0.644
c. 0.444
d. 0.544
Ans: b. 0.644
7. In case an item occurs N times in a single transaction, the
support count of that item:
Select one:
a. zero times
b. is counted only once
c. is counted N times
d. is counted threshold times
Ans: b. is counted only once
8. In association analysis, confidence measures certainty of the
rule.
Select one:
a. True
b. False
Ans: a. True
9. Decision tree pruning is done to prevent under-fitting the data.
Select one:
a. True
b. False
Ans: b. False
10. A decision tree is split on the attribute with highest Gini
Index.
Select one:
a. True
b. False
Ans: b. False
11. Gini index cannot be used to make a ternary split on an attribute
in decision tree classification.
Select one:
a. True
b. False
Ans: b. False
12. Decision tree splitting decision can be made based upon
information gain of the attributes, but not based upon entropy of the
attributes.
Select one:
a. True
b. False
Ans: b. False
13. Laplace smoothing is applied in Naive Bayes spam classifier
because it prevents the conditional probability from becoming zero if
some words are not present in the sample.
Select one:
a. True
b. False
Ans: a. True
14. In association analysis, support is a symmetric measure of
associations.
Select one:
a. True
b. False
Ans: a. True
15. In classification, we evaluate the performance of a classifier on
training data
Select one:
a. True
b. False
Ans: b. False
Data Mining - ZC415 - Mid-Semester Question Paper - 2017 Regular BITS PILANI WILP
Data Mining (ZC415)
Mid-Semester Question Paper - 2016-2017 Regular
BITS PILANI WILP
Data Mining - ISZC415 - Mid-Semester Question Paper - 2016-2017 Regular BITS PILANI WILP
Data Mining (ISZC415)
Mid-Semester Question Paper - 2016-2017 Regular
BITS PILANI WILP
Data Mining Quiz1 ISZC415 - BITS PILANI WILP MTEC
Data Mining Quiz 1 ISZC415 - BITS PILANI WILP MTEC
1. 27, 0, 1, 2, 63, 61, 0, 13
The five number summary of the above sample is:
Select one:
a. 63, 27, 13, 2, 0
b. 0, 2, 13, 27, 63
c. 0, 1, 13, 27, 63
d. 0, 0.5, 7.5, 44, 63
Ans: d. 0, 0.5, 7.5, 44, 63
Select one:
a. weighted mean
b. midrange
c. median
d. mean
Ans: c. median
3. Validation set and test set contain the same samples.
Select one:
True
False
Ans: False
4. A boxplot can show outliers as small circles/points,
Select one:
True
False
Ans: True
5. Analysis of patterns for stock market prediction is an example of:
Select one:
a. evolution analysis
b. outlier analysis
c. correlation
d. characterization and discrimination
Ans: a. evolution analysis
6. Pearson's product moment correlation coefficient between two
variables can have values:
Select one:
a. 0 or any positive number
b. greater than or equal to -1 but less than or equal to +1
c. greater than 0 but less than one
d. 0 or positive but less than or equal to 1
Ans: b. greater than or equal to -1 but less than or equal to +1
7. Given two text documents, when we shuffle the words of any one of
the documents, the cosine similarity between the two texts will not
change.
Select one:
True
False
Ans: True
8. If all the tuples in a data set belong to a single class, then its
gini index is:
Select one:
a. 0.5
b. insufficient information to say anything
c. 0
d. 1
Ans: c. 0
9. The mapping of a value by min-max normalization is always in the
range [0,1]
Select one:
True
False
Ans: False
10. We always predict some amount or number in this kind of problems:
Select one:
a. classification
b. preprocessing
c. clustering
d. regression
Ans: d. regression
11. Holistic measure can be derived from distributive measures
Select one:
True
False
Ans: False
12. If all the data values in a set of data are unique, then
Select one:
a. their is no mode
b. we can select any one number as mode
c. the median is the mode
d. all the numbers are modes
Ans: a. their is no mode
13. A boxplot is nothing but a visual representation of IQR
Select one:
True
False
Ans: False
14.10, 2, 3, 4, 5, 3, 4, 6, 2
How many modes are there?
Select one:
a. 2
b. 1
c. 3
d. 4
Ans: c. 3
15. 10, 2, 3, 4, 5
The midrange of the above sample set is:
Select one:
a. 3
b. 6
c. 7.5
d. 4
Ans: b. 6
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