From ff54c4bd065b0917e5f6195c6eb17b8e096fa0d3 Mon Sep 17 00:00:00 2001
From: Jurica Seva <seva@informatik.hu-berlin.de>
Date: Fri, 25 May 2018 15:58:45 +0200
Subject: [PATCH] Updated with results on the train/val dataset.
---
paper/40_experiments.tex | 11 ++++++++++-
1 file changed, 10 insertions(+), 1 deletion(-)
diff --git a/paper/40_experiments.tex b/paper/40_experiments.tex
index 18483e7..df188b9 100644
--- a/paper/40_experiments.tex
+++ b/paper/40_experiments.tex
@@ -75,15 +75,24 @@ The two modeles where combined to create the final pipeline.
We tested both NER models in the final pipeline, as their performance differs significantly.
As both NEN models performe similary, we used the word and extended ICD-10 classification model in the final pipeline.
The results obtained during training are presented in Table \ref{tab:final_train}.
+Results obtained on the evaluation dataset are shown in Table \ref{tab:final_test}
\begin{table}[]
\centering
-\begin{tabular}{l|l|l|l|l|l}
+\begin{tabular}{|l|l|l|l|}
Model & Precision & Recall & F-1\\
S2S balanced + ICD-10 extended & 0.73 & 0.61 & 0.61 \\
S2S extended + ICD-10 extended & 0.74 & 0.62 & 0.63 \\
\end{tabular}
\caption{Final Pipeline Evaluation}
\label{tab:final_train}
+\begin{tabular}{|l|l|l|l|}
+Model & Precision & Recall & F-1\\
+S2S balanced + ICD-10 extended & & & \\
+S2S extended + ICD-10 extended & & & \\
+\end{tabular}
+\caption{Final Pipeline Evaluation}
+\label{tab:final_test}
+
\end{table}
--
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