Understanding Predictions and Verification in Models

These flashcards cover key concepts related to predictions and the validation of models, emphasizing the nature of certainty and empirical evidence in model assessment.

Prediction Verification

The process of determining whether a prediction made by a model is accurate.

Model Correctness

The idea that a model can never be definitively proven to be correct, only validated or verified against observed data.

Empirical Evidence

Data that can be observed or obtained through experimentation, used to support the verification of predictions.

Confidence in Models

The level of certainty that a model's predictions are accurate based on evidence and testing.

Limitations of Models

The inherent constraints and potential inaccuracies present in any predictive model.