In predictive analytics, what is 'overfitting' in a machine learning model?
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A
Using too few training records, causing high bias in predictions
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B
When a model learns the training data too precisely and performs poorly on new data
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C
Applying the same model to multiple unrelated business problems
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D
Normalizing input features to the same numeric scale before training