If a study is cross-validated,this means that:
A) the data are reliable,but not valid.
B) the same solutions will be found across different datasets.
C) different outcomes have been found across different datasets.
D) the data are valid,but not reliable.

Question

Quizplus · Accepted Answer

Cross-validation involves splitting the data into multiple subsets and testing the model on each subset. If the model performs consistently well on each subset, it indicates that the results are reliable and can be expected to generalize to new data. Therefore, the same solutions should be found across different datasets. Option A is incorrect because cross-validation assesses both reliability and validity. Option C is incorrect because inconsistent outcomes would indicate lack of reliability. Option D is incorrect because if the model is valid, it should consistently provide accurate results, regardless of the specific data used.

If a Study Is Cross-Validated,this Means That