Is a Classification Procedure Good Enough?—A Goodness-of-Fit Assessment Tool for Classification Learning
Is a Classification Procedure Good Enough?—A Goodness-of-Fit Assessment Tool for Classification Learning
In recent years, many nontraditional classification methods, such as random forest, boosting, and neural network, have been widely used in applications. Their performance is typically measured in terms of classification accuracy. While the classification error rate and the like are important, they do not address a fundamental question: Is the …