COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Extra Tree Regressor
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Random Forest
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Gradient Boosting
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Decision Tree
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Detailed explanation-1: -10) Which of the following algorithm are not an example of ensemble learning algorithm? Decision trees doesn’t aggregate the results of multiple trees so it is not an ensemble algorithm.
Detailed explanation-2: -An example of an ensemble learning algorithm is bagging [2]. Given a learning algorithm for creating single predictive models and a data set, bagging creates diverse predictive models by feeding different uniform samples of the data set to the learning algorithm in order to create each model.
Detailed explanation-3: -Ensemble methods, which combines several decision trees to produce better predictive performance than utilizing a single decision tree. The main principle behind the ensemble model is that a group of weak learners come together to form a strong learner.
Detailed explanation-4: -10) Which of the following algorithm is not an example of ensemble learningalgorithm? A) Random ForestB) AdaboostC) Extra TreesD) Gradient BoostingE) Decision TreesSolution: EDecision trees doesn’t aggregate the results of multiple trees so it is not an ensemblealgorithm.
Detailed explanation-5: -Answer: A-Software documentation is not an example of an algorithm. An algorithm is a systematic method for solving a problem.