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What is the basic idea behind Ensemble Classifiers?
What is the basic idea behind Ensemble Classifiers?
- Relying on a complex parameter tuning process
- Creating a transparent representation of the classifier
- Using a single classifier for all predictions
- Building different 'experts' and letting them vote (correct)
What is a disadvantage of Ensemble Classifiers?
What is a disadvantage of Ensemble Classifiers?
- It provides a compact representation of the classifier
- It can only include one type of classifier
- It requires minimal parameter tuning
- The combined classifier is not so transparent (black box) (correct)
What is the purpose of Unweighted voting in Ensemble of Classifiers?
What is the purpose of Unweighted voting in Ensemble of Classifiers?
- To simplify the implementation process
- To exclude certain classifiers from the process
- To combine the classification results from different classifiers (correct)
- To give more weight to certain classifiers
What does Ensemble-based methods involve?
What does Ensemble-based methods involve?
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What is an advantage of Ensemble Classifiers?
What is an advantage of Ensemble Classifiers?
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What is the main idea behind Ensemble Classifiers?
What is the main idea behind Ensemble Classifiers?
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What is a disadvantage of Ensemble Classifiers?
What is a disadvantage of Ensemble Classifiers?
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What is the purpose of Unweighted voting in Ensemble of Classifiers?
What is the purpose of Unweighted voting in Ensemble of Classifiers?
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What does Ensemble-based methods involve?
What does Ensemble-based methods involve?
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What is an advantage of Ensemble Classifiers?
What is an advantage of Ensemble Classifiers?
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