further work on introduction

2025-08-04 15:05:48 +00:00
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 %! Author = alex
 %! Date = 3/6/25

+
 \section{Discussion}\label{sec:discussion}

+In this study, we investigated the performance of different machine learning architectures on the task of fertility prediction,
+with the aim to find a model that performs well for natural family planning and natural contraception on regular and irregular cycles.
+
+Our goal was to
+
+Based on an extensive real-world database and established model architectures for timeseries analysis,
+we expect to outperform both rule-based baselines and related studies.
+We think, that for regular cycles, the performance difference will be lower than


 % talk about whether bbt / temperature can be used for such a task, discuss bbt doubt papers