DOC Correct a typo: this -> these
@@ -109,7 +109,7 @@ plt.show()
# First aggregate all false positive rates
all_fpr = np.unique(np.concatenate([fpr[i] for i in range(n_classes)]))
-# Then interpolate all ROC curves at this points
+# Then interpolate all ROC curves at these points
mean_tpr = np.zeros_like(all_fpr)
for i in range(n_classes):
mean_tpr += np.interp(all_fpr, fpr[i], tpr[i])
