Christian Za is using the holdout method to partition his data into two independent and mutually exclusive sets: 75% in a training set and 25% in a validation set. Based on an R² value of 0.4532 and RMSE of 0.3268 for the training set and an R² value of 0.1426 and RMSE of 0.5371 for the validation set, which of the competing models is the preferred model? A) The validation data set would be the preferred model. B) The training data set would be the preferred model. C) Both models are preferred models. D) There is not enough data to determine the preferred model.

Question

Quizplus · Accepted Answer

The preferred model is determined by its performance on the validation set, not by which dataset (training or validation) is used. However, since the question seems to misunderstand how models are evaluated (it's the performance metrics on the validation set that matter, not the dataset itself being a "model"), the closest correct answer is that the training set model would be preferred based on the lower RMSE (Root Mean Square Error) value indicating better performance. However, this interpretation is technically incorrect as the question's premise is flawed; model preference is based on validation performance, not training performance.

Christian Za Is Using the Holdout Method to Partition His