Because of 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)Moore's Law
B)curse of dimensionality
C)attribute paradox
D)uncertainty principle

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 ensure that the model is accurate increases exponentially. This can lead to overfitting, where the model becomes too complex and fits the sample data too closely, resulting in poor performance when used with new data. This phenomenon can make it difficult to build accurate predictive models, particularly with large datasets containing many features or complex relationships between variables.

Because of a Phenomenon Called the ________,The More Attributes There