ComparisonRow
One row of a model comparison table.
Usage
ComparisonRow(
label,
aic,
delta_aic,
bic,
deviance_explained,
r_squared_adj,
edf_total,
gcv_score,
scale,
n_obs,
)Attributes
label: str-
Formula string identifying the model.
aic: float-
Akaike Information Criterion.
delta_aic: float-
AIC difference from the best (lowest-AIC) model.
bic: float-
Bayesian Information Criterion.
deviance_explained: float-
Proportion of null deviance explained.
r_squared_adj: float-
Adjusted R-squared.
edf_total: float-
Total effective degrees of freedom.
gcv_score: float or None-
GCV score, or
Nonefor Bayesian fits. scale: float-
Estimated scale (dispersion) parameter.
n_obs: int- Number of observations.