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The factory will deliver a first test set of around 500 pairs of shoes from the third quarter of 2016.
For the test set of 300 compounds, the corresponding statistics was R2 = 0.992.
Network over-training was limited by using a test set of 40 pseudo-randomly distributed records.
Model was validated by predicting the IC50 values for a test set of 7 compounds.
In addition to q2, the predictive ability was validated using external test set of five compounds.
A test set of 7 compounds was used for the external validation.
The predictive ability of the model was assessed using a test set of 7 compounds.
An external test set of 94 mixtures containing almost 2000 data points was also used.
We combined all test sets as one large test set of clean tokens.
We determined an annotation precision for this test set of 95% (see supplied Additional file 3).
All the given BERs are averaged over the test set of images, except otherwise indicated.
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