Assessing Model Performance for Regression

An overview of some of the methodologies used to assess the quality of a regression model

The model assessment phase starts when we create a holdout set which consists of examples the learning algorithm didn’t see during training. If our model performs well on the holdout set we can say that our model generalizes well and is of good quality.

The most common way to assess whether a model is good or not is …

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