9.5. copro.plots.plot_ROC_curve_n_times¶
- copro.plots.plot_ROC_curve_n_times(ax, clf, X_test, y_test, tprs, aucs, mean_fpr, **kwargs)[source]¶
Plots the ROC-curve per model simulation to a pre-initiated matplotlib-instance.
- Parameters
ax (axis) – axis of pre-initaited matplotlib-instance
clf (classifier) – sklearn-classifier used in the simulation.
X_test (array) – array containing test-sample variable values.
y_test (list) – list containing test-sample conflict data.
tprs (list) – list with false positive rates.
aucs (list) – list with area-under-curve values.
mean_fpr (array) – array with mean false positive rate.
- Returns
lists with true positive rates and area-under-curve values per plot.
- Return type
list