Câu 22: C1000-012: IBM Watson Application Developer V3.1

What is the main criteria for separating training and test data when training a machine learning system?

1. A. Test data should be as random as possible, so that it tests the boundaries of the system.
2. B. Training data should be random, but the test data should be created by a subject matter expert.
3. C. Training data should be as random as possible, in order to create a robust model. — đáp án hiện tại
4. D. The data set should be representative and randomly split in to a training set and a test set so that they do not overlap.