Data Warehousing and Data Mining20785 marksK-fold cross validation
How do you evaluate the accuracy of a classifier? Discuss the advantages of using K-fold cross validation.
How do you evaluate the accuracy of a classifier? Discuss the advantages of using K-fold cross validation. [5]
The accuracy of a classifier measures how well it correctly predicts the class label of unseen tuples. The common methods are: - The dataset D is randomly partitioned into two independent sets: - Training set (typically 2/3 of data): used to build the classifier. - Test set (typically 1/3 of data...