DM week 3
- Created by: mariolarc
- Created on: 06-05-21 08:44
Other questions in this quiz
2. What is purity?
- A measure of how accurate a covering rule is.
- A measure of how many different classes appear in a node of a decision tree.
- A measure of how many instances are correctly classified by a decision tree.
- A measure of how representative a training set is.
3. What is the true positive rate?
- The number of correctly predicted instances of a class divided by by the number of instances in this class.
- The number of correctly predicted instances of a class divided by the number of incorrectly predicted instance for this class.
- The number of instances in a class.
- The number of correctly predicted instances for a class.
4. What is stratification?
- The process of decreasing the misclassification rate in the training set.
- The process of computing true/false positives and true/false negatives.
- The process of randomly sampling data to create training and test sets.
- The process of selecting attributes for building a decision tree.
5. What is 1R?
- A purity measure for decision trees.
- An algorithm for updating the weights of a perceptron.
- An algorithm for computing classification rules, based on class frequencies of individual attributes.
- The true positive rate.
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