Question: The more attributes there are in a sample data, the easier it is to build a model that fits the sample data, but that is

The more attributes there are in a sample data, the easier it is to build a model that fits the sample data, but that is worthless as a predictor. Which of the following best explains this phenomenon?

the curse of dimensionality

the tragedy of the commons

the zero

-

sum game

the free rider problem

The more attributes there are in a sample data,

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