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The Curse of Dimensionality: 5 Is about trying to use too many predictors in a model, Weis about trying to use too many cases in
The "Curse of Dimensionality":
Is about trying to use too many predictors in a model,
Weis about trying to use too many cases in a datamining task
s mostly a misnomer as more dimensions usually mean a better fit of the model te new data
Does not apply to supervised machma carning:
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