Question

The __________ theorem states that all models have the same error rate when averaged over all possible data generating distributions.

A: Pareto efficiency
B: Zero handouts
C: No free lunch
D: Biased aggregate

Answer 1

The No Free Lunch theorem states that all models have the same error rate when averaged over all possible data generating distributions. There is no one-size-fits-all model that is universally the most accurate for every situation.

Step-by-step explanation:

The correct answer is C. No free lunch.

The No Free Lunch theorem states that all models have the same error rate when averaged over all possible data generating distributions. This means that there is no one-size-fits-all model that is universally the most accurate for every situation.

For example, let's say we have two different machine learning algorithms: Algorithm A and Algorithm B. Algorithm A performs well on certain types of data, while Algorithm B performs well on other types of data. The No Free Lunch theorem tells us that if we average the error rates of these two algorithms over all possible data generating distributions, their error rates will be equal.