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What is Overfitting? |
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Answer» Overfitting is a CONCEPT in data science when a data POINT does not FIT against its TRAINING model. When the raining model is fed with data, there is a possibility that it might encounter some noise that cannot fit into the statistical model. This happens when the algorithm cannot perform accurately against unseen data. Overfitting data points- In the above linear model, some points do not fit in. These points are outliers. |
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