In model evaluation, describing the practice of using two or more models and comparing their results on the same data is called what?

• A. Validation
• B. Calibration
• C. Triangulation
• D. Generalization

Answer: (C)

Triangulation is the practice of using two or more models or methods and comparing their results on the same data to cross-validate findings. This approach helps you see whether patterns hold across different modeling assumptions, reducing the chance that a conclusion rests on the quirks of a single model. If multiple models agree, you gain stronger confidence in the result; if they disagree, it signals you should dig into why and possibly adjust approaches or data.

Validation, by contrast, involves evaluating a single model on separate data to estimate how well it will perform on new data. Calibration focuses on aligning predicted probabilities with observed outcomes. Generalization refers to a model’s ability to perform well on unseen data in general, not the act of comparing multiple models on the same dataset.