plot_decision_curve

plot_decision_curve(
    performance_data,
    decision_type='conventional',
    min_p_threshold=0,
    max_p_threshold=1,
    stratified_by=['probability_threshold'],
    size=600,
)

Plots a Decision Curve from pre-computed performance data.

This function is useful for plotting a Decision Curve directly from a DataFrame that already contains the necessary performance metrics.

Parameters

Name	Type	Description	Default
performance_data	pl.DataFrame	A Polars DataFrame with performance metrics, including net benefit and probability thresholds.	required
decision_type	str	Type of decision curve to plot. Defaults to "conventional".	'conventional'
min_p_threshold	float	The minimum probability threshold to plot. Defaults to 0.	0
max_p_threshold	float	The maximum probability threshold to plot. Defaults to 1.	1
stratified_by	Sequence[str]	The columns in performance_data used for stratification. Defaults to ["probability_threshold"].	['probability_threshold']
size	int	The width and height of the plot in pixels. Defaults to 600.	600

Returns

Name	Type	Description
	Figure	A Plotly Figure object representing the Decision Curve.