SOLVED CS607 Quiz #2 Solution and Discussion
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Please share your current Quiz and Solution to help the students…
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Hypothesis space uses the ________________ of the attributes. CS607
conjunctions (AND) (Page No 168)
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Which one is NOT the phase of machine learning: CS607
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In theoretical computer science there are two main branches of problems: CS607
• Tractable
• Intractable
Page (165)
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The Entropy is 1 when the collection contains number of positive examples _______ to/than negative examples. CS607
Equal (Page 177) -
The first step of FIND-S is to initialize h to the most specific hypothesis in __________: h = < Ø , Ø > CS607
H (Page 172)
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Decision trees give us disjunctions of conjunctions, that is, they have the form:(A AND B) _______ (C AND D). CS607
OR (Page 176)
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________ stands for interactive dichotomizer CS607
ID (Page No. 177) -
Interactive Dichotomizer uses a special function ________, to evaluate the gain information of each attribute. CS607
Page 177 -
_____________ learning works on existing facts and knowledge and deduces new knowledge from the old. CS607
Deductive (Page 162)
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Machine learning typically follows ___________ phases according to Finlay. CS607
Three (Page 160)
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Question # 1 of 10 ( Start time: 08:34:53 PM ) Total Marks: 1
The Entropy is 1 when the collection contains number of positive examples _______ to/than negative examples.
Select correct option:
Equal
Greater
Less
None of the given
Question # 2 of 10 ( Start time: 08:35:22 PM ) Total Marks: 1
Measure of the effectiveness of an attribute in classifying the training data is called.
Select correct option:
Information Gain
Measure Gain
Information Goal
None of the given
Question # 3 of 10 ( Start time: 08:36:15 PM ) Total Marks: 1
A drawback of FIND-S is that, it assumes the consistency within the training set.
Select correct option:
True
False
Question # 4 of 10 ( Start time: 08:37:03 PM ) Total Marks: 1
The brain is a collection of about 100 ________ interconnected neurons.
Select correct option:
Million
Billion
Trillion
None of the given
Question # 5 of 10 ( Start time: 08:37:52 PM ) Total Marks: 1
Hypothesis space uses the ________________ of the attributes.
Select correct option:
Conjunctions (AND)
Disjunctions (OR)
Negation (NOR)
None of the given
Question # 6 of 10 ( Start time: 08:38:44 PM ) Total Marks: 1
Aggregation only occurs once for each output variable, just after the fifth and final step, defuzzification.
Select correct option:
True
False
Question # 7 of 10 ( Start time: 08:39:48 PM ) Total Marks: 1
A concept is the representation of the __________ with respect to the given attributes.
Select correct option:
Solution
Problem
Knowledge
None of the given
Question # 8 of 10 ( Start time: 08:40:32 PM ) Total Marks: 1
__________ is the process by which the fuzzy sets that represent the outputs of each rule are combined into a single fuzzy set.
Select correct option:
Aggregation
Fuzzification
Implication
None of the given
Question # 9 of 10 ( Start time: 08:41:22 PM ) Total Marks: 1
The first step of FIND-S is to initialize h to the most specific hypothesis in __________: h = < Ø , Ø >
Select correct option:
H
I
J
K
Question # 10 of 10 ( Start time: 08:42:19 PM ) Total Marks: 1
A single Perceptron simply draws a line, which is a hyper plane when the data is _____ than 2 dimensional.
Select correct option:
More
Less
Equal
None of the given
Quiz-2
Question # 1 of 10 ( Start time: 08:44:17 PM ) Total Marks: 1
Complex problems usually have well-defined steps
Select correct option:
True
False
Question # 2 of 10 ( Start time: 08:45:47 PM ) Total Marks: 1
__________ is the process by which the fuzzy sets that represent the outputs of each rule are combined into a single fuzzy set.
Select correct option:
Aggregation
Fuzzification
Implication
None of the given
Question # 3 of 10 ( Start time: 08:46:05 PM ) Total Marks: 1
The first step of FIND-S is to initialize h to the most specific hypothesis in __________: h = < Ø , Ø >
Select correct option:
H
I
J
K
Question # 4 of 10 ( Start time: 08:46:19 PM ) Total Marks: 1
Choose the fields in which Fuzzy inference systems have been successfully applied:
Select correct option:
automatic control
data classification
decision analysis
All of the given
Question # 5 of 10 ( Start time: 08:47:13 PM ) Total Marks: 1
A concept is the representation of the __________ with respect to the given attributes.
Select correct option:
Solution
Problem
Knowledge
None of the given
Question # 6 of 10 ( Start time: 08:47:30 PM ) Total Marks: 1
_________ is the process of formulating the mapping from a given input to an output using Fuzzy logic.
Select correct option:
FIZ
FIS
FOS
None of the given
Question # 7 of 10 ( Start time: 08:48:11 PM ) Total Marks: 1
The input of the aggregation process is the list of truncated output functions returned by the _________ process for each rule.
Select correct option:
Truncation
Implication
Aggregation
None of the given
Question # 8 of 10 ( Start time: 08:49:09 PM ) Total Marks: 1
In Fuzzy Inputs we resolve all fuzzy statements in the antecedent to a degree of membership between 0 and _____
Select correct option:
1
2
3
4
Question # 9 of 10 ( Start time: 08:49:37 PM ) Total Marks: 1
Fuzzy inference systems (FIS) are NOT associated with a number of names.
Select correct option:
True
False
Question # 10 of 10 ( Start time: 08:50:16 PM ) Total Marks: 1
Inductive learning takes examples and generalizes rather than starting with __________ knowledge.
Select correct option:
Existing
Inductive
Deductive
None of the given
Quiz-3
1-Artificial Neural Networks is a new learning paradigm which takes its roots from _________ inspired approach to learning.
Biology
2- In Candidate-Elimination algorithm version space is represented by two sets named:
G and S
3-Interactive Dichotomizer uses a special function ________, to evaluate the gain information of each attribute.
GAIN
4- The Entropy is 1 when the collection contains number of positive examples _______ to/than negative examples.
Equal
5-The first step of FIND-S is to initialize h to the most specific hypothesis in __________: h = < Ø , Ø >
H
6- Entropy characterizes the purity/impurity of an arbitrary collection of examples.
True
7- ________ stands for interactive dichotomizer.
ID
8- If the true output of a concept [c(xi)] is 1 or 0 for an instance, then the output by our hypothesis [h(xi)] is 1 or 0 as well, respectively.
True
9-Aggregation only occurs once for each output variable, just after the fifth and final step, defuzzification.
False
10- __________ is the process by which the fuzzy sets that represent the outputs of each rule are combined into a single fuzzy set.
Aggregation
Quiz-4
1- Fuzzy inference systems are not associated with number of names:
a. True
b. False2- A single layer perceptron can not perform pattern classification on linearly separable patterns
a. True
b. False3- Hypothesis space uses the ___________________of the attributes
Conjunction(AND)
Disjunction(OR)
Negation(NOR)
None of given4- Machine learning is prerequisite for any mature program of artificial intelligence
a. True
b. False5- ____is process of formulation the mapping from given input to output using fuzzy logic
FIZ
FIS
FOS
None of given6- Many machine learning systems are classifiers
True
False7- The brain is collection of about 100 ____ interconnected neurons
Million
Billion
Trillion
None of givenQuiz -5
Question # 2 of 10 ( Start time: 05:56:51 PM ) Total Marks: 1
In Fuzzy Inputs we resolve all fuzzy statements in the antecedent to a degree of membership between 0 and _____
Select correct option:
a. 1
b. 2
c. 0
d. NoneQuestion # 3 of 10 ( Start time: 05:58:07 PM ) Total Marks: 1
The tractable problems are further divided into structured and ________ problems
Select correct option:
a. Complex
Question # 4 of 10 ( Start time: 05:59:02 PM ) Total Marks: 1
The role of tester is often called the critic
Select correct option:
b. True
Question # 5 of 10 ( Start time: 06:00:07 PM ) Total Marks: 1
Which one is NOT the phase of machine learning:
Select correct option:
c. validation
d. training
e. application
f. none of givenQuestion # 6 of 10 ( Start time: 06:01:05 PM ) Total Marks: 1
The Candidate-Elimination algorithm represents the ____________
Select correct option:
a. version space
Question # 7 of 10 ( Start time: 06:02:36 PM ) Total Marks: 1
Mamdani’s method was among the first _____________ built using fuzzy set theory.
Select correct option:
b. control systems
Question # 10 of 10 ( Start time: 06:03:42 PM ) Total Marks: 1
_____________ learning works on existing facts and knowledge and deduces new knowledge from the old.
Select correct option:
c. deductive
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If the true output of a concept [c(xi)] is 1 or 0 for an instance, then the output by our hypothesis [h(xi)] is 1 or 0 as well, respectively.
A. True
B. False -
Decision trees give us dis-junctions of conjunctions, that is, they have the form: (A AND B) _______ (C AND D).
A. OR
B. AND
C. XOR
D. None of the given -
Hypothesis space uses the ________________ of the attributes.
A. Conjunctions (AND)
B. Disjunctions (OR)
C. Negation (NOR)
D. None of the given -
Measure of the effectiveness of an attribute in classifying the training data is called.
A. Information Gain
B. Measure Gain
C. Information Goal
D. None of the given -
Which one is NOT the advantage of Neural Network
A. Excellent for pattern recognition
B. Excellent classifiers
C. Handles noisy data well
D. None of the given -
The first step of FIND-S is to initialize h to the most specific hypothesis in __________: h = < Ø , Ø >
A. H
B. I
C. J
D. K -
A drawback of FIND-S is that, it assumes the consistency within the training set.
A. True
B. False -
In all calculations involving Entropy we define _________ to be ______
A. 0 log 0, 0
B. 0 log 10, 1
C. 0 log 0, 1
D. 1 log 1, 1 -
The soma and the enclosed nucleus in neuron play a significant role in the processing of incoming and outgoing data.
A. True
B. False -
A concept is the representation of the __________ with respect to the given attributes.
A. Solution
B. Problem
C. Knowledge
D. None of the given
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Inductive learning takes examples and generalizes rather than starting with __________ knowledge.
Existing
Inductive
Deductive
None of the given -
In theoretical computer science there are two main branches of problems:
Select correct option:
Tractable and Intractable
Intractable and Induction
Tractable and Induction
None of the given -
Which one is NOT the phase of machine learning:
Select correct option:
a. Validation
b. Training
c. Application
d. none of given


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