Bias and Variance – the struggle of daily life

Bias refers to the error that is introduced by approximating a real-life problem, which may be extremely complicated, by a much simpler model. Variance refers to the amount by which the prediction of model would change if we estimated it using a different training data set. The challenge lies in finding a method for which…
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February 14, 2019 0