For small training sets variance may contribute more to the overall error than bias. Sometimes this...

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For small training sets variance may contribute more to theoverall error than bias. Sometimes this is handled by reducing thecomplexity of the model, even if the model is too simple. Why doyou suppose this is the case? Come up with your own example ofthis

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