metadpy.plotting.plot_roc

metadpy.plotting.plot_roc(nR_S1: Union[list, ndarray], nR_S2: Union[list, ndarray], fitModel: Optional[dict] = None, ax: Optional[Axes] = None) → Axes

Type2 ROC curve from observed an estimated data fit.

Parameters

nR_S1

Number of ratings for signal 1 (correct and incorrect).

nR_S2

Number of ratings for signal 2 (correct and incorrect).

fitModel

Dictionary returned by metadpy.mle.fit_metad(). If provided, the estimated ratings will be plotted toghether with the observed data.

ax

Where to draw the plot. Default is None (create a new figure).

Returns

ax

The matplotlib axes containing the plot.