Minimum Description Length (MDL) is a principle from information theory and statistics that provides a method for model selection. It is based on the idea that the best model for a given set of data is the one that leads to the shortest overall description of both the model and the data when encoded. In essence, it seeks to balance the complexity of the model against how well the model fits or explains the data.
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