# ComparisonRow


One row of a model comparison table.


Usage

``` python
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 `None` for Bayesian fits.

`scale: float`  
Estimated scale (dispersion) parameter.

`n_obs: int`  
Number of observations.
