CS607 Quiz #2 Solution and Discussion


  • Cyberian's Gold

    Please share your current Quiz and Solution to help the students…


  • Cyberian's Gold

    Hypothesis space uses the ________________ of the attributes. CS607

    conjunctions (AND) (Page No 168)

    91bd86e3-fba3-4132-885c-4bb3c224f37f-image.png


  • Cyberian's Gold

    Which one is NOT the phase of machine learning: CS607

    a7dbc9d9-1f53-4ac9-bcbe-cb883f7b1b3c-image.png


  • Cyberian's Gold

    In theoretical computer science there are two main branches of problems: CS607

    • Tractable
    • Intractable
    Page (165)
    0d006721-074d-4c82-a74c-158579a314a3-image.png


  • Cyberian's Gold

    The Entropy is 1 when the collection contains number of positive examples _______ to/than negative examples. CS607
    Equal (Page 177)

    6f0a4a18-deea-4521-af71-5f23e697cba9-image.png


  • Cyberian's Gold

    The first step of FIND-S is to initialize h to the most specific hypothesis in __________: h = < Ø , Ø > CS607

    H (Page 172)

    56068d58-c7bf-4e43-8b57-929b4a0328a4-image.png


  • Cyberian's Gold

    Decision trees give us disjunctions of conjunctions, that is, they have the form:(A AND B) _______ (C AND D). CS607

    OR (Page 176)

    89cd8e9d-2603-4ae9-8293-65622c498633-image.png


  • Cyberian's Gold

    ________ stands for interactive dichotomizer CS607
    ID (Page No. 177)

    476b9779-e6b0-46fd-9227-259ce6468eab-image.png


  • Cyberian's Gold

    Interactive Dichotomizer uses a special function ________, to evaluate the gain information of each attribute. CS607
    Page 177

    cad37080-6f90-4393-b199-6d6cda5aa1a2-image.png


  • Cyberian's Gold

    _____________ learning works on existing facts and knowledge and deduces new knowledge from the old. CS607

    Deductive (Page 162)
    9026ed53-e3b6-40cb-8e11-ee5ec18ae7cc-image.png


  • Cyberian's Gold

    Machine learning typically follows ___________ phases according to Finlay. CS607

    Three (Page 160)
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  • Cyberian's

    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. False

    2- A single layer perceptron can not perform pattern classification on linearly separable patterns

    a. True
    b. False

    3- Hypothesis space uses the ___________________of the attributes

    Conjunction(AND)
    Disjunction(OR)
    Negation(NOR)
    None of given

    4- Machine learning is prerequisite for any mature program of artificial intelligence

    a. True
    b. False

    5- ____is process of formulation the mapping from given input to output using fuzzy logic

    FIZ
    FIS
    FOS
    None of given

    6- Many machine learning systems are classifiers

    True
    False

    7- The brain is collection of about 100 ____ interconnected neurons

    Million
    Billion
    Trillion
    None of given

    Quiz -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. None

    Question # 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 given

    Question # 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



    1. 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

    2. 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

    3. Hypothesis space uses the ________________ of the attributes.
      A. Conjunctions (AND)
      B. Disjunctions (OR)
      C. Negation (NOR)
      D. None of the given

    4. 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

    5. 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

    6. 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

    7. A drawback of FIND-S is that, it assumes the consistency within the training set.
      A. True
      B. False

    8. 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

    9. The soma and the enclosed nucleus in neuron play a significant role in the processing of incoming and outgoing data.
      A. True
      B. False

    10. A concept is the representation of the __________ with respect to the given attributes.
      A. Solution
      B. Problem
      C. Knowledge
      D. None of the given



  • Inductive learning takes examples and generalizes rather than starting with __________ knowledge.

    Existing
    Inductive
    Deductive
    None of the given

    9dde9e93-60aa-40e5-9437-9726c52a8178-image.png



  • 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

    9a41b8cd-c0a4-4fc0-9f7d-5cb8d92ef956-image.png



  • Which one is NOT the phase of machine learning:

    Select correct option:

    a. Validation
    b. Training
    c. Application
    d. none of given

    0f2572e8-d665-4070-9d51-789d83dd1ae0-image.png



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