DM week 3
- Created by: mariolarc
- Created on: 06-05-21 08:44
Other questions in this quiz
2. What is 1R?
- An algorithm for updating the weights of a perceptron.
- An algorithm for computing classification rules, based on class frequencies of individual attributes.
- A purity measure for decision trees.
- The true positive rate.
3. 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.
4. Which of the following measures the relationship between true positives and false positives for different subsets of instances in the data set?
- Confusion matrix.
- Lift.
- Receiver Operating Characteristic (ROC)
- Cohen's Kappa.
5. What is stratification?
- The process of selecting attributes for building a decision tree.
- The process of randomly sampling data to create training and test sets.
- The process of computing true/false positives and true/false negatives.
- The process of decreasing the misclassification rate in the training set.
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