SOLVED: The definitions for AIC and BIC (or SBC) are: AIC = -2ln(L) + 2p BIC = -2ln(L) + ln(n)p where L is the log-likelihood, p is the number of parameters, n
Using AIC and BIC for Model Selection — hmmlearn 0.3.0.post3+g23c0f13 documentation
Your 101 Guide to Model Selection In Machine Learning
Probabilistic Model Selection with AIC/BIC in Python | by Shachi Kaul | Analytics Vidhya | Medium
Lasso model selection: AIC-BIC / cross-validation — scikit-learn 1.3.1 documentation
LM101-077: How to Choose the Best Model using BIC - Learning Machines 101