Using the concept of overfitting, explain why when a model is fit to training data, zero error
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Using the concept of overfitting, explain why when a model is fit to training data, zero error with those data is not necessarily good.
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Overfitting occurs when a machine learning model learns the training data too well capturing noise and random fluctuations in the data rather than the ...View the full answer
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Related Book For
Machine Learning For Business Analytics
ISBN: 9781119828792
1st Edition
Authors: Galit Shmueli, Peter C. Bruce, Amit V. Deokar, Nitin R. Patel
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