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report_thesis/src/sections/introduction.tex

@@ -47,7 +47,6 @@ \section{Introduction}\label{sec:introduction}
 In Section~\ref{sec:baseline_replica} we present a brief introduction to the \gls{moc} model and our previous work of replicating it. The results presented are used as a baseline comparison for our stacking ensemble.
 Section ~\ref{sec:proposed_approach} introduces our proposed approach of addressing the problem definition, including the model and preprocessing selection, our data partitioning and cross-validation strategy, and our optimization framework.
 Section~\ref{sec:methodology} introduces our experimental design and results of the experiments conducted in this work, including the results of our stacking ensemble.
-Finally, Section~\ref{sec:conclusion} and Section~\ref{sec:future_work} concludes the paper by summarizing our findings and discussing the implications of our work and give suggestions for future work, respectively. 
 Finally, Section~\ref{sec:future_work} and Section~\ref{sec:future_work} conclude the paper by summarizing our findings, discussing the implications of our work, and giving suggestions for future work, respectively.
 
 Due to the overlapping nature of terminology used in \gls{libs} data analysis and machine learning, we provide a list of terms in Table~\ref{tab:terms} to clarify their meaning.