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multiple regression minimizes error in the original data. The formula therefore adjusts itself to predict every random fluke in the data. If, for instance, the sample includes a few managers who have high technical skills and who also performed exceptionally well for unrelated reasons, the model will exaggerate the weight of technical skill.
AI learning depends in the quality of the raw data. MSFT racist bot. Watson for hiring. It's not the algorithm, but the model. Classroom is no different
