While overfitting data could lead to an error rate of 0 (zero),it is unlikely that you would be able to ________ your results.
A) define
B) specify
C) articulate
D) generalize

Question

Quizplus · Accepted Answer

Overfitting occurs when a model is excessively complex and captures noise in the training data, resulting in poor generalization to new, unseen data. Therefore, the best choice is to generalize the results to new data beyond the training set. Defining, specifying, or articulating the results may help understand the model's behavior and performance on the training set, but it does not guarantee good generalization to new data.

While Overfitting Data Could Lead to an Error Rate of 0