Predicting with Regression MCQ

Test your knowledge with important Predicting with Regression MCQ and their applications. These MCQs are beneficial for competitive exams too. Explore 30+ more Predicting with Regression MCQs on Bissoy. Bissoy App

• PCA is most useful for non linear type models.
  ক

  True

  খ

  False
• Which of the following is one of the largest boost subclass in boosting?
  ক

  variance boosting

  খ

  gradient boosting

  গ

  mean boosting

  ঘ

  all of the mentioned
• Which of the following is statistical boosting based on additive logistic regression?
  ক

  gamBoost

  খ

  gbm

  গ

  ada

  ঘ

  mboost
• The principal components are equal to left singular values if you first scale the variables.
  ক

  True

  খ

  False
• Which of the following library is used for boosting generalized additive models?
  ক

  gamBoost

  খ

  gbm

  গ

  ada

  ঘ

  all of the mentioned
• Which of the following is correct with respect to random forest?
  ক

  Random forest are difficult to interpret but often very accurate

  খ

  Random forest are easy to interpret but often very accurate

  গ

  Random forest are difficult to interpret but very less accurate

  ঘ

  None of the mentioned
• Which of the following method options is provided by train function for bagging?
  ক

  bagEarth

  খ

  treebag

  গ

  bagFDA

  ঘ

  all of the mentioned
• Predicting with trees evaluate _____________ within each group of data.
  ক

  equality

  খ

  homogeneity

  গ

  heterogeneity

  ঘ

  all of the mentioned