Which of the following algorithms is not an example of ensemble learning algorithm?2 pointsRandom ForestAdaboostExtra TreesGradient BoostingDecision Trees

Which of the following machine learning algorithm is based upon the idea of bagging?(1 Point)Decision treeRandom-forestClassificationRegression

Which of the following algorithms is not primarily used for classification tasks?Decision TreesRandom ForestsAprioriSupport Vector Machines

Question 6This tree ensemble method only uses a subset of the features for each tree:1 pointStackingAdaboostBaggingRandom Forest

Which of the following is/are true about Random Forest and Gradient Boosting ensemble methods?3 pointsBoth methods can be used for classification taskRandom Forest is use for classification whereas Gradient Boosting is use for regression taskRandom Forest is use for regression whereas Gradient Boosting is use for Classification taskBoth methods can be used for regression task

Which ensemble learning technique focuses on reducing bias?Review LaterBaggingBoostingBoth bagging and boosting equally focus on reducing bias.Neither bagging nor boosting focuses on reducing bias.