Neural networks
A) often do not work well with out-of-range data.
B) have simple architectures.
C) require small datasets for optimum prediction.
D) do not perform properly when only key predictors are included.

Question

Quizplus · Accepted Answer

Neural networks often struggle with data that falls outside the range of the data they were trained on, as they learn from patterns within the training data and may not generalize well to entirely new, unseen data points. Choices B and C are incorrect because neural networks typically have complex architectures that can handle large datasets, and they often require substantial amounts of data to learn effectively. Choice D is incorrect because neural networks can perform well when key predictors are included, as long as the network is designed and trained appropriately to capture the underlying patterns in the data.

Neural Networks