In our simulations, both sequential and simultaneous substrate consumption examples are predicted, the accuracy of which remains to be experimentally validated.
Yet carmakers, for example, are predicting a 25% contraction in sales.
Because we expect the fraction of functional sites in our balanced training and testing sets to be relatively small (probably around 5 to 10%), we only plot PPVs for prediction thresholds resulting in up to 20% of the test examples being predicted positive.
The optimal model (the one that extrapolizes best on unseen examples) is predicted for the number of nodes in the hidden layer considered most likely by MDL, which again is found to coincide with the best value found experimentally.
Imputation is used on both the training set and on examples being predicted by AZOrange models.
This domain compatibility enhancement is also applied to examples being predicted, for compliance with the model domain.
According to some models of climate change, many grasslands in western North America, for example, are predicted to be at greater risk of drought due to projected increases in summer temperatures and changes to existing rainfall patterns.
Rodent genomes, for example, are predicted to encode ≈1100 functional ORs, while in humans about half of the ≈800 GPCRs are odorant receptors.
COPD and overweight/obesity, for example, are predicted to become leading causes of morbidity and mortality in the near future [ 25].
Light, for example, was predicted to bend around the Sun by about five 10-thousandths of a degree.
