Data Science, Model Performance, Model Selection, Machine Learning, Bobrupakroy.
number of parameters/ attributes used in the model) And the model with the lowest AIC is selected. AIC compared to BIC approach gives more emphasis on model performance on the training dataset and penalizes less on complex models So this may result in overfitting. Thus BIC solves this problem by