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Alex Blank
2025-08-22 17:44:41 +00:00
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thesis/sections/appendix.tex
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\label{tab:ov_over_results_by_model_parameters_conv_transformer}
\end{table}
\end{landscape}
\begin{landscape}
\begin{table}
\small
\begin{tabularx}{\linewidth}{l*{6}{X}}
\toprule
\multirow{2}{*}{Model} & \multicolumn{2}{c}{MAE} & \multicolumn{3}{c}{MSE} \\
\cmidrule(r){2-4} \cmidrule(r){5-7}
& Fertility Overall & Fertile Days & Non-Fertile Days & Fertility Overall & Fertile Days & Non-Fertile Days \\
\midrule
\multicolumn{7}{c}{\textbf{Regular Cycle Group}} \\
\midrule
LSTM & 0.026034 & 0.072578 & \textbf{0.007398} & 0.002563 & 0.007850 & \textbf{0.000415} \\
Transformer & 0.025847 & \textbf{0.065979} & 0.009693 & \textbf{0.002376} & \textbf{0.006651} & 0.000626 \\
Convolutional LSTM & 0.026750 & 0.070371 & 0.009774 & 0.002460 & 0.007313 & 0.000573 \\
Convolutional Transformer & \textbf{0.025161} & 0.066934 & 0.008789 & 0.002424 & 0.006919 & 0.000655 \\
Last-Cycle Baseline & 0.037961 & 0.085792 & 0.016133 & 0.006592 & 0.014177 & 0.003198 \\
Population Mean Baseline & 0.080743 & 0.139663 & 0.052513 & 0.016657 & 0.027671 & 0.011292 \\
User Mean Baseline & 0.032624 & 0.077341 & 0.012325 & 0.005195 & 0.011715 & 0.002312 \\
\midrule
\multicolumn{7}{c}{\textbf{Irregular Cycle Group}} \\
\midrule
LSTM & \textbf{0.036813} & 0.093108 & \textbf{0.014657} & 0.004490 & 0.013415 & \textbf{0.001076} \\
Transformer & 0.039474 & \textbf{0.084206} & 0.022359 & 0.004122 & \textbf{0.010774} & 0.001783 \\
Convolutional LSTM & 0.037182 & 0.085657 & 0.018791 & \textbf{0.004096} & 0.011188 & 0.001538 \\
Convolutional Transformer & 0.038007 & 0.086143 & 0.019175 & 0.004281 & 0.011374 & 0.001639 \\
Last-Cycle Baseline & 0.049164 & 0.124943 & 0.022958 & 0.009423 & 0.023650 & 0.004613 \\
Population Mean Baseline & 0.051673 & 0.123722 & 0.027299 & 0.009795 & 0.022330 & 0.005751 \\
User Mean Baseline & 0.054256 & 0.129195 & 0.028745 & 0.010548 & 0.023935 & 0.006159 \\
\bottomrule
\end{tabularx}
\caption{Evaluation Metrics for the fertility probability target across Different Model Architectures for the Regular and Irregular Cycle Groups.
\textbf{Bold} values represent the best values across all models for a given metric.}
\label{tab:regular_vs_irregular_fertility_results}
\end{table}
\end{landscape}
\begin{landscape}
\begin{table}
\small
\begin{tabularx}{\linewidth}{l*{6}{X}}
\toprule
\multirow{2}{*}{Model} & \multicolumn{3}{c}{MAE} & \multicolumn{3}{c}{MSE} \\
\cmidrule(r){2-4} \cmidrule(r){5-7}
& OV-Over Overall & OV-Over Before OV & OV-Over After OV & OV-Over Overall & OV-Over Before OV & OV-Over After OV \\
\midrule
\multicolumn{7}{c}{\textbf{Regular Cycle Group}} \\
\midrule
LSTM & \textbf{0.059506} & 0.087519 & \textbf{0.047856}&\textbf{0.028519}& 0.031695 & \textbf{0.026116} \\
Transformer & 0.075639 & 0.083443 & 0.069310 & 0.032929 & \textbf{0.024774} & 0.033411 \\
Convolutional LSTM & 0.076335 & 0.090550 & 0.068022 & 0.034224 & 0.028962 & 0.033929 \\
Convolutional Transformer & 0.075421 & 0.111256 & 0.060485 & 0.033333 & 0.039045 & 0.029329 \\
Last-Cycle Baseline & 0.087916 & 0.093465 & 0.074191 & 0.087916 & 0.093465 & 0.074191 \\
Population Mean Baseline & 0.285887 & \textbf{0.008876} & 0.418879 & 0.285887 & 0.008876 & 0.418879 \\
User Mean Baseline & 0.069245 & 0.069152 & 0.055724 & 0.069245 & 0.069152 & 0.055724 \\
\midrule
\multicolumn{7}{c}{\textbf{Irregular Cycle Group}} \\
\midrule
LSTM & \textbf{0.094527} & \textbf{0.063073} & \textbf{0.106232} & \textbf{0.051747} & \textbf{0.016777} & 0.070419 \\
Transformer & 0.117531 & 0.096482 & 0.116790 & 0.055990 & 0.026159 & 0.067520 \\
Convolutional LSTM & 0.108166 & 0.092732 & 0.110939 & 0.054523 & 0.030092 & \textbf{0.066643} \\
Convolutional Transformer & 0.111817 & 0.094195 & 0.114122 & 0.056075 & 0.029638 & 0.067965 \\
Last-Cycle Baseline & 0.222906 & 0.134945 & 0.258047 & 0.222906 & 0.134945 & 0.258047 \\
Population Mean Baseline & 0.171368 & 0.130366 & 0.140363 & 0.171368 & 0.130366 & 0.140363 \\
User Mean Baseline & 0.180702 & 0.088884 & 0.217144 & 0.180702 & 0.088884 & 0.217144 \\
\bottomrule
\end{tabularx}
\caption{Evaluation Metrics for the Ovulation-Over Target across Different Model Architectures for the Regular and Irregular Cycle Groups.
\textbf{Bold} values represent the best values across all models for a given metric.}
\label{tab:regular_vs_irregular_ov_over_results}
\end{table}
\end{landscape}