# GoodnessOfFit


Goodness-of-fit statistics returned by [GAM.goodness_of_fit()](GAM.md#whittaker.GAM.goodness_of_fit).


Usage

``` python
GoodnessOfFit(
    deviance,
    null_deviance,
    deviance_explained,
    r_squared_adj,
    aic,
    bic,
    gcv_score,
    scale,
    edf_total,
    n_obs,
)
```


Bundles all fit-quality metrics into a single object so they can be inspected, compared, or logged without calling each property individually.


## Attributes


`deviance: float`  
Model deviance at convergence.

`null_deviance: float`  
Deviance of the intercept-only model.

`deviance_explained: float`  
Proportion of null deviance explained, in `[0, 1]`.

`r_squared_adj: float`  
Adjusted R-squared, accounting for model complexity via the effective degrees of freedom.

`aic: float`  
Akaike Information Criterion.

`bic: float`  
Bayesian Information Criterion.

`gcv_score: float or None`  
GCV score. `None` for Bayesian fits (VI, MCMC).

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

`edf_total: float`  
Total effective degrees of freedom.

`n_obs: int`  
Number of observations.