bayesian data mining test-1

Which of the following statements about the Naive Bayes algorithm is not correct?

• Attributes are equally important

• Attributes are statistically dependent of one another given the

  class value

• Attributes are statistically independent of one another given the

  class value

• Attributes can be nominal or numeric

What is meant by a cluster?

• A group of similar objects that differ significantly from other

  objects

• Symbolic representation of facts or ideas from which information

  can potentially be extracted

• Operations on a database to transform or simplify data in order to

  prepare it for a machine-learning algorithm

• A learning algorithm that is unsupervised

The task of inferring a model from labelled training data is called

• Unsupervised learning

• Supervised learning

• Reinforcement learning

• Deep learning

A telecommunication company wants to segment their customers

into distinct groups in order to send appropriate subscription offers.This is an example of

• Unsupervised learning

• Supervised learning

• Knowledge representation

• Data transformation

What is meant by the term bias as used in data mining?

• A class of learning algorithms that tries to find an optimum

  classification of a set of examples using probabilistic theory

• A mechanism employed by a learning system to constrain the

  search space of a hypothesis

• An approach to the design of learning algorithms that is inspired

  by human-based heuristics

• A knowledge representation technique using tree structures