In cross–validation, the cross–validity is the correlation between the: a. a. Predictions from the first (or screening) sample and the dependent variable from the second (or calibration) sample b....

In cross–validation, the cross–validity is the correlation between the:

a. a. Predictions from the first (or screening) sample and the dependent variable from the second (or calibration) sample



b. Criterion from the second (or calibration) sample and the criterion from the first (or screening) sample



c. Predictions from the second (or calibration) sample and the predictions from the first (or screening) sample


d. Predictions from the second (or calibration) sample and the dependent variable from the first (or screening) sample



May 26, 2022
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