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authorChristoph Helma <helma@in-silico.ch>2018-03-23 15:48:48 +0100
committerChristoph Helma <helma@in-silico.ch>2018-03-23 15:48:48 +0100
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@@ -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
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