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IID assumptions and violations
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187.
Definition of I.I.D.
easy
What does i.i.d. stand for and what does it assume about training data?
A
Independent and identically distributed — each sample is drawn independently from the same fixed distribution
B
Independent and incrementally diverse — each sample adds new information not present in previous samples
C
Invariant and identically defined — each sample shares the same feature space and label schema
D
Iteratively identified and distributed — each sample is verified before being added to the training set
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