Due to a phenomenon called the ________, the more attributes there are, the easier it is to build a model that fits the sample data but that is worthless as a predictor.
A) attribute paradox
B) curse of dimensionality
C) uncertainty principle
D) economies of scale

Question

Quizplus · Accepted Answer

The curse of dimensionality refers to the fact that as the number of attributes or dimensions in a dataset increases, the amount of data required to make meaningful conclusions about those dimensions also increases. This can lead to overfitting, where a model fits the sample data well but fails to predict accurately for new data. Therefore, option B is the correct answer. Option A, C, and D are incorrect as they do not refer to this phenomenon.

Due to a Phenomenon Called the ________, the More Attributes