Question 1

The market share of a business would be considered a lagging measure in the cause-and-effect modeling of data mining.

Accepted Answer

Lagging measures are indicators of past performance, whereas leading measures are predictors of future performance. Market share is a lagging measure as it reflects the company's historical performance in relation to its competitors.

Question 2

Briefly explain classification as a data-mining tool with an example.

Accepted Answer

The answer of Briefly explain classification as a data-mining tool...

Question 3

Explain how data-mining using lagging and leading measures of the cause-and-effect model can help managers make business decisions.

Accepted Answer

The answer of Explain how data-mining using lagging and leading...

Question 4

In the average linkage clustering, the distance between two clusters is defined as the average of distances between all pairs of objects, where each pair is made up of one object from each group.

Accepted Answer

In average linkage clustering, the distance between two clusters is indeed defined as the average of distances between all pairs of objects, where each pair is made up of one object from each cluster.

Question 5

In association analysis, the antecedent and consequent are sets of items that do not have any items in common.

Accepted Answer

This is true because in association analysis, the antecedent and consequent are usually defined as two disjoint sets of items. This means that there are no items that are both in the antecedent and the consequent.

Question 6

The accuracy of the model on the test data gives a realistic estimate of the performance of the model on completely unseen data.

Accepted Answer

The test data is used to evaluate the performance of the model on completely unseen data, making it a realistic estimate of how the model will perform in the real world.

Question 7

In cluster analysis, the objects within clusters should exhibit a high amount of dissimilarity.

Accepted Answer

Objects within clusters should exhibit a high amount of similarity, not dissimilarity. Cluster analysis is based on grouping similar objects together.

Question 8

How is the strength of an association measured?

Accepted Answer

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Question 9

Lagging and leading measures in cause-and-effect modeling are uncorrelated.

Accepted Answer

Lagging and leading measures in cause-and-effect modeling are actually correlated, as they are connected in a cause-and-effect relationship. The lagging measure is the effect, while the leading measure is the cause.

Question 10

Exemplify the k-Nearest Neighbor algorithm of classification.

Accepted Answer

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Question 11

How are objects clustered in agglomerative hierarchical clustering?

Accepted Answer

The answer of How are objects clustered in agglomerative hierarchical...

Question 12

Expected confidence assumes independence between the consequent and the antecedent.

Accepted Answer

Expected confidence assumes that the occurrence of the consequent (outcome) is independent of the antecedent (evidence or predictor variable). This means that the probability of the consequent happening is not affected by the presence or absence of the antecedent. Therefore, the calculation of expected confidence assumes independence between the two variables.

Question 13

Logistic regression cannot be employed when the dependent variable is binary.

Accepted Answer

Logistic regression is specifically designed for binary (dichotomous) dependent variables, and cannot be used for continuous dependent variables. Therefore, the statement in the question is incorrect and the correct answer is B.

Quiz 12: Introduction to Data Mining