Naive Bayes Classifier: Algorithm & Examples


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question 1 of 3

Classification _____ a set of objects based on similarity.

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1. _____ is the mathematical likelihood that something will occur.

2. The Naive Bayes Classifier is a _____ in probability.

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About This Quiz & Worksheet

Use these quiz questions to find out what you know about the Naive Bayes Classifier. Questions will ask you about the mathematical likelihood that a thing will occur as well certain aspects of classification.

Quiz & Worksheet Goals

In this set of questions you'll measure your understanding of:

  • What classifying a set of objects does
  • Identify the term that refers to the mathematical likelihood an event will occur
  • What Naive Bayes Classifier is

Skills Practiced

  • Reading comprehension - ensure that you draw the most important information from the material, such as what factors the Naive Bayes Classifier takes into account
  • Defining key concepts - ensure that you can accurately identify main phrases, such as what classification does for a set of things
  • Knowledge application - use your knowledge to correctly fill in the blank with the correct term for a Naive Bayes Classifier statement

Additional Learning

Get a deeper comprehension of the way in which this mathematical system works using the lesson titled, Naive Bayes Classifier: Algorithm & Examples. You will be exposed to new concepts like:

  • Examples of classified objects
  • How to find probability for a given data set
  • Real-world applications of this Classifier