Business Analytics

When working with supervised learning models such as regression or classification, the data is hand is split into training and test data. Which of the following are true about this practice? Select one or more: a. The training and test data must come from different populations b. When splitting data, it is customary to split it approximately 70% training and 30% testing c. The split is required to test the model fit on training data against some new test data it has never seen d. If a model is tested on the data it has been trained, the quality measures are not reliable since model is biased on that data. e. When splitting data, it is customary to split it into two equal parts, ie.50\%-50\%