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Questions and Answers
What type of algorithm is used to classify categorical data?
What type of algorithm is used to classify categorical data?
- KNN
- Decision trees (correct)
- Support Vector Machines
- Rule induction
What is the purpose of rule induction?
What is the purpose of rule induction?
- To create rules from data (correct)
- To reduce the generalization error of a model
- To classify categorical data
- To train a support vector machine
What type of algorithm is KNN?
What type of algorithm is KNN?
- Decision tree
- Support Vector Machine
- Ensemble learner
- Neural network (correct)
What type of algorithm is SVM?
What type of algorithm is SVM?
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What is the purpose of ensemble learners?
What is the purpose of ensemble learners?
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What is the purpose of ensemble models?
What is the purpose of ensemble models?
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What is used to determine when to split data in decision trees?
What is used to determine when to split data in decision trees?
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Which of the following is not a type of algorithm?
Which of the following is not a type of algorithm?
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What type of meta learner is used to combine several base models?
What type of meta learner is used to combine several base models?
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What type of meta learner is used to reduce the generalization error of a model?
What type of meta learner is used to reduce the generalization error of a model?
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Study Notes
- Decision trees are a type of algorithm that are used to classify categorical data.
- Decision trees use a measure of impurity to determine when to split data.
- Rule induction is a technique that is used to create rules from data.
- KNN is a type of algorithm that is used to train a neural network.
- SVM is a type of algorithm that is used to train a support vector machine.
- Ensemble learners are a type of meta learner that is used to combine several base models.
- Ensemble models are a type of meta learner that reduce the generalization error of a model.
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