Data Science, Model Performance, Model Selection, Machine Learning, Bobrupakroy.
The model with the lowest BIC is selected. Python version: bic = n * log(mse) + num_params * log(n) BIC penalizes more on the complexity of the model. The limitation of the BIC is for a smaller, less representative training dataset, it is more likely to end up choosing too simple models. A lower