GoConqr has a new look! Let us know what you think.

Sign up free

Quiz

Module 7 Review

Nick Feldman 13 questions

Take the quiz

Questions in this quiz (13)

  1. 1Which of the following is true regarding variable selection versus variable reduction?
    1. AVariable Selection is typically supervised, variable reduction is typically unsupervised.
    2. BVariable reduction is typically supervised, variable selection is typically unsupervised.
    3. CVariable reduction is used only in segmentation, variable selection is used in predictive modeling and segmentation.
    4. DVariable reduction requires the presence of a target variable, variable selection does not.
  2. 2Which of the following is NOT a con of using Naïve Bayes Classifier method?
    1. AIt doesn’t handle large number of categorical inputs very well.
    2. BIt needs a lot of records to get good models.
    3. CIf a predictor category is not present in the training data, the model assumes that new
      records with that category of has zero probability.
    4. DIt does not work well if the goal is to get estimates of probability belonging to a class
  3. 3Which of the following is true about the support of an association rule?
    1. AIt is the proportion of market baskets where the rule is true.
    2. BIt measures how often the right side of the rule holds, given the left side.
    3. CIt measures how much better the rule is for prediction than a random guess.
    4. DSupport calculation is not reflexive.
  4. 4In which case does the ensemble model work the best?
    1. AWhen the models going into the Ensemble are very different in nature and produce different results.
    2. BWhen the models going into the Ensemble are very similar in nature but produce different results.
    3. CWhen the models going into the Ensemble are very similar in nature and produce similar results.
    4. DWhen the models going into the Ensemble are very different in nature but produce similar results.
  5. 5How does the proportion method in voting work for a binary classification ensemble model?
    1. APrediction estimates are ignored and the proportion of the models which decide the primary outcome are returned.
    2. BPrediction estimates are averaged from the models that decide the primary outcome and models which decide the secondary outcome are ignored.
    3. CPrediction estimates of all the models which decide the primary and secondary outcome are averaged.
    4. DPrediction estimates are ignored and proportion of the models which decide the primary and secondary outcome are returned.
  6. 6What is the assumption of Naive Bayes method while classifying an observation into classes?
    1. AThe observation features are conditionally independent within each class.
    2. BThe observation features are conditionally dependent within each class.
    3. CThe observation features dependency is unknown within each class.
    4. DThere is no assumption on the conditional dependencies of observation features.
  7. 7Which of the following is true regarding Lift of a rule?
    1. ALift calculations are reflexive.
    2. BLift of a rule is the number of transactions supporting the rule to number of transactions where only conditional part of transactions is true.
    3. CLift values less than 1 indicate a useful rule.
    4. DCalculation of lift does not require understanding of independence in a co-occurrence matrix.
  8. 8Which of the following is used to look for time-ordered association patterns?
    1. ASequence Analysis
    2. BAssociation Rule mining
    3. CText Analysis
    4. DGradient Boosted Trees
  9. 9Which of the following is an inexplicable rule?
    1. AOn Thursdays, consumers often purchase diapers and beers together
    2. BConsumers who buy extended warranties are likely to buy large appliances
    3. CWhen a new hardware store opens, one of the most commonly sold items is “toilet bowl cleaners”
    4. DIf a customer purchases three-way calling, he/she will also buy call waiting
  10. 10The level of taxonomy to use for market basket analysis often depends on __________.
    1. ABusiness Objectives
    2. BData Availability
    3. CBoth Business Objectives and Data Availability
    4. DNone of these

Information

Description
Quiz on Module 7 Review, created by Nick Feldman on 01/05/2022.
Language
English
Views
1
Rating
No ratings yet
Rate this quiz
Rate this quiz

Feedback

What is it about?

What do you think of the new look?

How do you like it?