In a supervised learning problem, there is an explicit, pre-defined target variable which has known labels.
Structured Data is data that has a clear and pre-defined schema. Unstructured Data encompasses the wide spectrum of data that does not fall within the structured category.
A model that is underfit will produce evaluation metrics that are poor on the training data alone, such as high RMSE or misclassification rate.
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