Confounding Factor
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A Confounding Factor is a Factor that is not present in the Training Data of a Predictive Modeling Algorithm.
- AKA: Extranaeous Cofactor
- Context:
- It can (typically) affect an experiment that is not a Randomized Experiment.
- Example(s):
- A typical example is the suggestion that there is a confounding factor in smoking/cancer studies that cannot be controlled for, because it is unknown.
- See: Simpson's Paradox, Causal Factor, Factor Analysis