... we explore the regression model analysis scores known as AIC, AICc, and BIC which are acronyms for Akaike Information Criterion... ... <看更多>

A wide-spread non-Bayesian approach to model comparison is to use the Akaike information criterion (AIC). The AIC is the most common instance of a class of ... ... <看更多>

The AIC is sensitive to the sample size used to train the models. At small sample sizes, "there is a substantial probability that AIC will ... ... <看更多>

model-selection estimator regression-models akaike-information-criterion ransac-algorithm. Updated on Apr 30, 2019; Jupyter Notebook ... ... <看更多>

I would like to use a PCA with subsequent feature selection/filtering in mlr3. I could not yet find AIC and BIC for this "filtering" in the ... ... <看更多>