aucplot#

scikitplot.snsx.aucplot(data=None, *, x=None, y=None, kind=None, hue=None, weights=None, common_norm=None, fill=False, line_kws=None, palette=None, hue_order=None, hue_norm=None, color=None, log_scale=None, legend=True, ax=None, baseline=False, **kwargs)[source]#

AUC curve plot, Seaborn-style.

Parameters:
datapandas.DataFrame | None
xstr | pd.Series | np.ndarray | None

Ground truth (correct/actual) target values.

ystr | pd.Series | np.ndarray | None

Prediction probabilities for target class returned by a classifier/algorithm.

kind{‘pr’, ‘roc’}, default=’roc’
huestr | pd.Series | np.ndarray | None
fillbool, default=False

Fill area under curve

baselinebool, default=False

Show diagonal baseline

legendbool, default=True
Parameters:
Return type:

Axes