ChatGPT, Data Science, Clustering, Machine Learning, Artificial Intelligence.
criteria that are used to compare different models and choose the one that best fits the data. The goal of both AIC and BIC is to balance the goodness-of-fit of the model with its complexity, in order to avoid overfitting or underfitting. The main difference between AIC and BIC is how they weigh