From 75e06821cf86eb439c73a9b5c4672e75a57faf86 Mon Sep 17 00:00:00 2001 From: nathante Date: Tue, 7 Mar 2023 23:11:58 +0000 Subject: [PATCH] Update on Overleaf. --- article.Rtex | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/article.Rtex b/article.Rtex index ef041b9..eb0910c 100644 --- a/article.Rtex +++ b/article.Rtex @@ -1067,7 +1067,7 @@ For simplicity, our main simulations include balanced classified variables. How \label{appendix:imbalanced.iv} Replicating \emph{Simulation 1a}, Figure \ref{fig:iv.imbalanced} illustrates that our MLA method performs similarly well with imbalance in classified independent variables. -However, the quality of uncertainty quantification of methods tends to degrade as imbalance increases, as seen by comparing the neighboring black and gray lines when the probability of X is 0.95 in Figure \ref{fig:iv.imbalanced.bx}. This suggests that imbalanced data requires additional validation data for effective misclassification correction. Please note that the PL approach has very large confidence intervals and is thus excluded in Figure \ref{fig:iv.imbalanced} for readability. +However, the quality of uncertainty quantification of methods tends to degrade as imbalance increases, as seen by comparing the neighboring black and gray lines when the probability of X is 0.95 in Figure \ref{fig:iv.imbalanced.bx}. This suggests that imbalanced data requires additional validation data for effective misclassification correction. Please note that the PL approach has a very large range of estimates and is thus excluded in Figure \ref{fig:iv.imbalanced} for readability. \begin{figure}[htpb!] \begin{subfigure}{0.95\textwidth} @@ -1091,7 +1091,7 @@ grid.draw(p) \subsubsection{Imbalance in Classified Dependent Variables} \label{appendix:imbalanced.dv} -Replicating \emph{Simulation 2a}, Figure \ref{fig:dv.imbalanced} further illustrates that our MLA method performs similarly well with imbalance in classified dependent variables. The PL approach is, again, removed due to the large confidence intervals of its estimations. +Replicating \emph{Simulation 2a}, Figure \ref{fig:dv.imbalanced} further illustrates that our MLA method performs similarly well with imbalance in classified dependent variables. The PL approach is, again, removed due to the large range of its estimates. \begin{figure}[htpb!] \begin{subfigure}{0.95\textwidth} <>=