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: