About MDL

Minimum Description Length (MDL) is an information theoretic model selection principle that assumes the simplest representation of data is the most probable explanation.

Information theoretic model selection principle is an important concept in information theory (the study of the quantification of information) and in learning theory (the study of the capacity for generalization based on empirical data).

MDL assumes that the simplest, most compact representation of the data is the best and most probable explanation of the data. The MDL principle is used to build Oracle Machine Learning attribute importance models.

The build process for attribute importance supports parallel processing.