importmatplotlib.pyplotasplttmp_df=auuc_metrics.copy()tmp_df=tmp_df.sort_values(by='uplift_tree',ascending=False)x=tmp_df['uplift_tree']*(-1)tmp_df["cumsum_is_treated"]=tmp_df.cumsum()['is_treated']y=tmp_df["cumsum_is_treated"]plt.plot(x,y)plt.xlabel('uplift_tree_sign_inverted...