What Is Cross-Validation

Multiple Choice

What is cross-validation?

A) It is the assessment of a model's level of errors across different samples, which is useful as it allows us to assess how many errors there might be in a model using different samples.
B) It is the comparison of your findings with the work of others, using the same data.
C) It is the use of theoretical literature to build your valid data model.
D) It is the assessment of a model's accuracy across different samples, which is useful as it allows us to assess how well our model might predict the outcome in different samples.