further work on stuff

thesis/sections/methodology.tex

@@ -687,6 +687,22 @@ Tables~\ref{tab:fertility_mae_metrics} and~\ref{tab:ov_over_mae_metrics} summari
     \label{tab:ov_over_mae_metrics}
 \end{table}
 
+\subsubsection{Best Model Configuration Selection}\label{subsubsec:methodology_best_model_config_selection}
+Based on the results from the input window length, input resolution,
+and model parameter space exploration, we selected a single best configuration for each model architecture to carry forward.
+This step was necessary to keep the computational effort manageable,
+as exhaustively testing all possible configurations for every subsequent metric would have been prohibitively expensive.
+
+Selection was based primarily on the \textbf{Fertility-Overall MSE} metric,
+as it most directly reflects the main objective of this study: predicting fertility.
+In cases where the difference between configurations was small,
+we preferred the option that aligned with the general tendency of the model architecture.
+For example, if an architecture consistently performed better with more input data or longer sequences,
+but the Fertility-Overall MSE was only marginally better for a shorter window, we selected the longer window.
+
+This selection process was applied to all tested parameters—input window length, input resolution, and model complexity.
+The resulting configurations were then used in the irregular cycles study and the use case evaluation.
+
 \subsubsection{Regular and Irregular Cycles}\label{subsubsec:methodology_regular_and_irregular_cycles}
 
 A perfectly regular menstrual pattern does not require a sophisticated algorithm to predict ovulation—