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Models using different sources of training set data but resulting in the same predictions with the same validation data are considered robust against the training set source.
For the first k predictions (ranked by score, and for predictions with the same score, taken in the order they were submitted in the prediction files), the DREAM2 evaluation script defines precision as the fraction of correct predictions of k, and recall as the proportion of correct predictions out of all the possible true connections.
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We selected the 10th percentile presence value because it had the lowest p-value for the null hypothesis that test points are predicted no better than by a random prediction with the same fractional predicted area.
In the second part we test this prediction with the same exploratory behaviour of M. sanctus, in particular when many ants move around simultaneously and may interact directly or indirectly.
We can identify two ways to evaluate the quality of a model: one called direct validation compares the model prediction with the same experimental data as used to estimate the parameters (Goudar et al. 2009; Selişteanu et al. 2015).
However, to the best of our knowledge, the relationship between the two types of methods has not previously been investigated; therefore, this study was the first to systematically compare the usefulness of gene expression and chemical structure information in the context of compound target prediction (with the same benchmark data tested under unbiased experimental conditions).
The mean predicted value for a given subset of prediction spectra (with the same expected concentration) was the data point plotted on the grid, while error bars represented the standard deviations in predicted values.
Similarly and for an FDTD prediction calibrated with the same point can be assigned a predicted power value.
Thirdly, it requires a larger sample to be held-out than cross-validation to be able to obtain the prediction error with the same precision [39].
Furthermore, the standard deviations of the five prediction accuracies with the same order were all lower than 1%, suggesting that the integrated method was quite stable on DS2.
The chance of annotation bias across species is minimal because for most of the analyses in the study, we applied the same computational prediction method with the same threshold to the 27 genomes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com