What is the curse of dimensionality?

What is the curse of dimensionality?



Answer: As you increase the number of dimensions in your feature space the less effective standard computational and statistical techniques become. Your models will require more computational power to be fitted and more observations of data. When fitting a model, you make certain assumptions that the data sample is representative of the population. The more features you have,relative to the data instances, the less confidently you can say that the assumptions

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