10 Questions
What type of algorithm is used to classify categorical data?
Decision trees
What type of technique is used to create rules from data?
Rule induction
What type of algorithm is used to train a neural network?
KNN
What type of algorithm is used to train a support vector machine?
SVM
What type of meta learner is used to combine several base models?
Ensemble learners
What type of meta learner reduces the generalization error of a model?
Ensemble models
What type of measure is used to determine when to split data?
Impurity
What type of algorithm is used to classify data into categories?
Decision trees
What type of technique is used to create rules from data?
Rule induction
What type of meta learner is used to reduce the generalization error of a model?
Ensemble models
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.
Test your knowledge of different machine learning algorithms such as decision trees, KNN, SVM, and techniques like rule induction and ensemble learning. Learn about classification, impurity measures, neural network training, support vector machines, and meta learners.
Make Your Own Quizzes and Flashcards
Convert your notes into interactive study material.
Get started for free
