Podcast
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?
What is the purpose of ensemble learners?
What is the purpose of ensemble learners?
What is the purpose of ensemble models?
What is the purpose of ensemble models?
What is used to determine when to split data in decision trees?
What is used to determine when to split data in decision trees?
Which of the following is not a type of algorithm?
Which of the following is not a type of algorithm?
What type of meta learner is used to combine several base models?
What type of meta learner is used to combine several base models?
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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