DMW QUIZ-C1

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1. A _________ is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility.

Decision Tree

Graph

Neural Network

Tree

About This Quiz

2. What first name or nickname would you like us to use?

You may optionally provide this to label your report, leaderboard, or certificate.

2. Background knowledge referred to

It is a form of automatic learning.

A neural network that makes use of a hidden layer

Additional acquaintance used by a learning algorithm to facilitate the learning process

None of these

3. Incremental learning referred to

Machine-learning involving different techniques

The learning algorithmic analyzes the examples on a systematic basis and makes incremental adjustments to the theory that is learned

Learning by generalizing from examples

4. Binary attribute are

Systems that can be used without knowledge of internal operations

The natural environment of a certain species

In general, these values will be 0 and 1 and .they can be coded as one bit

Mutual exclusion classifier

5. Enumeration is referred to

A stage of the KDD process in which new data is added to the existing selection.

The distance between two points as calculated using the Pythagoras theorem.

None of these

6. Kernel Trick is a concept of

ID3

SVM

ANN

K-NN

7. Bayesian classifiers is

Any mechanism employed by a learning system to constrain the search space of a hypothesis

None of these

8. Example of Lazy Learner

ID3

SVM

ANN

K-NN

9. Hidden knowledge referred to

A set of databases from different vendors, possibly using different database paradigms

An approach to a problem that is not guaranteed to work but performs well in most cases

Information that is hidden in a database and that cannot be recovered by a simple SQL query

None of these

10. Bias is

Any mechanism employed by a learning system to constrain the search space of a hypothesis

Pre data Analysis Approach

11. Classification is

A subdivision of a set of examples into a number of classes

The task of assigning a classification to a set of examples

A measure of the accuracy, of the classification of a concept that is given by a certain theor

12. Case-based learning is

Any mechanism employed by a learning system to constrain the search space of a hypothesis

It is a form of automatic learning.

13. Euclidean distance measure is

A stage of the KDD process in which new data is added to the existing selection.

The distance between two points as calculated using the Pythagoras theorem

None of these

14. Root node depends upon

Lowest value of Information Gain

Highest value of Information Gain

Gini Index

Entropy

15. Maximum margin is represented by

1/||w||

2/||w||

1/||2w||

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Dmw Quiz-c1

1. A _________ is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility.

2.

What first name or nickname would you like us to use?

2. Background knowledge referred to

3. Incremental learning referred to

4. Binary attribute are

5. Enumeration is referred to

6. Kernel Trick is a concept of

7. Bayesian classifiers is

8. Example of Lazy Learner

9. Hidden knowledge referred to

10. Bias is

11. Classification is

12. Case-based learning is

13. Euclidean distance measure is

14. Root node depends upon

15. Maximum margin is represented by