Data Mining Course Quiz

10 Questions | By Dima_skyfallen | Last updated: Mar 22, 2022 | Total Attempts: 13041

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Play this fantastic Data mining course quiz. Data is an essential aspect of information gathering for assessment, and thus data mining is essential. The quiz below will give you a better understanding of data mining and how to go about it. Take it up.

Questions and Answers

1.

The problem of finding hidden structures in unlabeled data is called...
- A.
  
  Supervised learning
- B.
  
  Unsupervised learning
- C.
  
  Reinforcement learning
2.

The task of inferring a model from labeled training data is called...
- A.
  
  Unsupervised learning
- B.
  
  Supervised learning
- C.
  
  Reinforcement learning
3.

Some telecommunication company wants to segment their customers into distinct groups in order to send appropriate subscription offers. This is an example of...
- A.
  
  Supervised learning
- B.
  
  Data extraction
- C.
  
  Seriation
- D.
  
  Unsupervised learning
4.

Self-organizing map is an example of...
- A.
  
  Unsupervised learning
- B.
  
  Supervised learning
- C.
  
  Reinforcement learning
- D.
  
  Missing data imputation
5.

You are given data about seismic activity in Japan, and you want to predict the magnitude of the next earthquake. This is in an example of...
- A.
  
  Supervised learning
- B.
  
  Unsupervised learning
- C.
  
  Seriation
- D.
  
  Dimensionality reduction
6.

Assume you want to perform supervised learning and to predict the number of newborns according to the size of the storks' population (http://www.brixtonhealth.com/storksBabies.pdf). It is an example of...
- A.
  
  Classification
- B.
  
  Regression
- C.
  
  Clustering
- D.
  
  Structural equation modeling
7.

Discriminating between spam and ham e-mails is a classification task, true or false?
- A.
  
  True
- B.
  
  False
8.

In the example of predicting the number of babies based on storks' population size, the number of babies is...
- A.
  
  Outcome
- B.
  
  Feature
- C.
  
  Attribute
- D.
  
  Observation
9.

It may be better to avoid the metric of ROC curve as it can suffer from accuracy paradox.
- A.
  
  True
- B.
  
  False

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The problem of finding hidden structures in unlabeled data is called...

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