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The difference between the expected value of a parameter estimator & the true value of the parameter. Do NOT use this tag to refer to the [bias-term] / [bias-node] (ie the [intercept]).

2 votes

Biased Data in Machine Learning

Your rules may give you a way to perform data augmentation. Copy a positive sample, change the age to 17, and then mark it as a negative sample. This procedure won't necessarily be trivial or useful …
Jim K.'s user avatar
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