What is ‘Overfitting’ in Machine learning?

4 years ago
Machine Learning

In machine learning, when a statistical model describes random error or noise instead of underlying relationship ‘overfitting’ occurs. When a model is excessively complex, overfitting is normally observed, because of having too many parameters with respect to the number of training data types. The model exhibits poor performance which has been overfit.


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Sanisha Maharjan
Sanisha Maharjan
Jan 10, 2022
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