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There are no files selected for viewingThis file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -0,0 +1,19 @@ def plot_roc(y, probs, threshmarkers=None): fpr, tpr, thresh = sklearn.metrics.roc_curve(y, probs) plt.plot(fpr, tpr, lw=2) if threshmarkers is None: threshmarkers = np.linspace(0, 1, 11) for t in threshmarkers: k = np.abs(thresh-t).argmin() x = fpr[k] y = tpr[k] plt.scatter(x, y, c="red", marker="x", s=50, lw=2, alpha=1.0) plt.annotate("%0.2f (%0.4f, %0.4f)" % (t, x, y), (x, y), textcoords="offset points", xytext=(25, -10), ha="left", va="center", fontsize=7, arrowprops={"arrowstyle":"->", "connectionstyle":"arc3,rad=0"}) plt.xlabel("False Positive Rate\n(1 - Specificity)") plt.ylabel("True Positive Rate\n(Sensitivity)") plt.xlim([-0.025, 1.025]) plt.ylim([-0.025, 1.025]) plt.xticks(np.linspace(0, 1, 21), rotation=45) plt.yticks(np.linspace(0, 1, 21)) plt.show()