Structural Coefficient
Context
BayesiaLab utilizes proprietary score-based learning algorithms.
As opposed to the constraint-based algorithms that use independence tests for adding or removing arcs between nodes, BayesiaLab employs the Minimum Description Length Score (MDL Score) to measure the quality of candidate networks with respect to the available data.
Structural Coefficient
With that, the MDL Score is calculated using the following formula:
However, choosing too low a value might result in "overfitting", i.e., learning "insignificant" relationships, in other words, discovering patterns in what turns out to be mere noise.
BayesiaLab can help reduce the risk of overfitting with the Structural Coefficient Analysis feature.
Last updated