4 files changed, 0 insertions, 16 deletions
diff --git a/loael.Rmd b/loael.Rmd
index 03f5089..ad5a655 100644
--- a/loael.Rmd
+++ b/loael.Rmd
@@ -684,11 +684,6 @@ is required. This can be done in the graphical interface
 (<https://lazar.in-silico.ch>) which provides intuitive means of inspecting the
 rationales and data used for read across predictions.
 
-Finally there is a substantial number of compounds
-(`r length(unique(t$SMILES))-length(training$LOAEL_predicted)`),
-where no predictions can be made, because there are no similar compounds in the training data. These compounds clearly fall beyond the applicability domain of the training dataset 
- and in such cases it is preferable to avoid predictions instead of random guessing.
-
 Summary
 =======
 
diff --git a/loael.md b/loael.md
index 9da9949..8fbfdd1 100644
--- a/loael.md
+++ b/loael.md
@@ -625,11 +625,6 @@ is required. This can be done in the graphical interface
 (<https://lazar.in-silico.ch>) which provides intuitive means of inspecting the
 rationales and data used for read across predictions.
 
-Finally there is a substantial number of compounds
-(37),
-where no predictions can be made, because there are no similar compounds in the training data. These compounds clearly fall beyond the applicability domain of the training dataset 
- and in such cases it is preferable to avoid predictions instead of random guessing.
-
 Summary
 =======
 
diff --git a/loael.pdf b/loael.pdf
index 25d0755..a09d5ab 100644
--- a/loael.pdf
+++ b/loael.pdf
diff --git a/loael.tex b/loael.tex
index 5376ce0..640169d 100644
--- a/loael.tex
+++ b/loael.tex
@@ -825,12 +825,6 @@ This can be done in the graphical interface
 (\url{https://lazar.in-silico.ch}) which provides intuitive means of
 inspecting the rationales and data used for read across predictions.
 
-Finally there is a substantial number of compounds (37), where no
-predictions can be made, because there are no similar compounds in the
-training data. These compounds clearly fall beyond the applicability
-domain of the training dataset and in such cases it is preferable to
-avoid predictions instead of random guessing.
-
 \section{Summary}\label{summary}
 
 In conclusion, we could demonstrate that \texttt{lazar} predictions