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Classification in Data mining test-1

Authored by Arivuselvi A

Computers

University

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Classification in Data mining test-1
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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Data mining is defined as?

A subject-oriented integrated time-variant non-volatile collection of data in support of management

The stage of selecting the right data for a KDD process

The real discovery stage of a knowledge discovery process

None of these

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How to define Classification accuracy?

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

The task of assigning a classification to a set of examples

Measure of the accuracy of the classification of a concept that is given by a certain theory

None of these

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Self-organizing maps are the best example of which of the following?

Unsupervised learning

Supervised learning

Reinforcement learning

Missing data imputation

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Suppose we are predicting the number of children based on storks’ population size, number of children is

observation

feature

attribute

outcome

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which is considered before investing in Data Mining?

Functionality

Vendor consideration

Compatibility

A, B, and C

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