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Curse of dimensionality
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177.
Definition of Curse of Dimensionality
easy
What is the curse of dimensionality?
A
The tendency of distance metrics to become unreliable when features are measured on different scales
B
The computational cost of training models that grows exponentially with the number of input features
C
The problem of having more features than training samples, in high-dimensional datasets, causing the model to overfit the training data
D
The phenomenon where data becomes increasingly sparse as the number of dimensions grows, making learning harder
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