Ensemble Learning MCQ

Test your knowledge with important Ensemble Learning MCQ and their applications. These MCQs are beneficial for competitive exams too. Explore 30 + more Ensemble Learning MCQs at Bissoy

• The weighted average rule combines the mean and the weighted majority voting rules.
  ক

  True

  খ

  False
• Which of the following is a solution for the problem, where the classifiers erroneously give unusual low or high support to a particular class?
  ক

  Maximum rule

  খ

  Minimum rule

  গ

  Product rule

  ঘ

  Trimmed mean rule
• Borda count takes the rankings of the class supports into consideration unlike the voting.
  ক

  True

  খ

  False
• Hard voting is where the model is selected from an ensemble to make the final prediction using simple majority vote.
  ক

  True

  খ

  False
• Which of the following statements is true about the combination rules?
  ক

  Maximum rule is pessimistic

  খ

  Sum rule takes the weighted sum of vote of each learner for each class

  গ

  Median rule is more robust to outliers

  ঘ

  Minimum rule is optimistic
• In majority voting, the winning class gets more than half of the total votes.
  ক

  True

  খ

  False
• In plurality voting the winner is the class with maximum number of votes.
  ক

  True

  খ

  False
• With the product rule, if one learner has an output of 0, the overall output goes to zero.
  ক

  True

  খ

  False
• In the simplest case of voting, all the learners are given equal weight.
  ক

  True

  খ

  False
• Which of the following statements is false about Ensemble voting?
  ক

  It takes a linear combination of the learners

  খ

  It takes non-linear combination of the learners

  গ

  It is the simplest way to combine multiple classifiers

  ঘ

  It is also known as ensembles and linear opinion pools
• The ABC company has released their Android app. And 80 people have rated the app on a scale of 5 stars. Out of the total people 15 people rated it with 1 star, 20 people rated it with 2 stars, 30 people rated it with 3 stars, 10 people rated it with 4 stars and 5 people rated it with 5 stars. What will be the final prediction if we take the average of individual predictions?
  ক

  2

  খ

  3

  গ

  4

  ঘ

  5
• Given the target value of a mixture of expert combinations is 0.8. The predictions of three experts and the probability of picking them are 0.6, 0.4, 0.5 and 0.8, 0.5, 0.7 respectively. Then what is the simple error for training?
  ক

  0.13

  খ

  0.15

  গ

  0.18

  ঘ

  0.2
• The partitioning of the training sample cannot be done based on locality in the input space.
  ক

  False

  খ

  True
• Ensembles tend to yield better results when there is a significant diversity among the models.
  ক

  False

  খ

  True
• Different algorithms make different assumptions about the data and lead to different classifiers in generating diverse learners.
  ক

  True

  খ

  False
• Which of the following statements is false about the base – learners?
  ক

  The base – learners are chosen for their accuracy

  খ

  The base – learners are chosen for their simplicity

  গ

  The base – learners has to be diverse

  ঘ

  Base – learners do not require them to be very accurate individually
• Which of the following is not an example of a multi – expert combination method?
  ক

  Voting

  খ

  Stacking

  গ

  Mixture of experts

  ঘ

  Cascading
• Which of the following statements is true about multi – stage combination methods?
  ক

  The next base – learner is trained on only the instances where the previous base – learners are not accurate enough

  খ

  It is a selection approach

  গ

  It has base – learners that work in parallel

  ঘ

  The base – learners are sorted in decreasing complexity
• The global approach is also known as learner fusion.
  ক

  False

  খ

  True
• Which of the following is not a multi – expert model combination scheme to generate the final output?
  ক

  Global approach

  খ

  Local approach

  গ

  Parallel approach

  ঘ

  Serial approach
• Ensemble learning is not combining learners that always make similar decisions; the aim is to be able to find a set of diverse learners.
  ক

  True

  খ

  False