Sentence examples for predictions is defined from inspiring English sources

misfit associated with those predictions is defined by: (3)where stands for the Gauss coefficients provided by CHAOS-2s in 2004.

Then, the proportion of successful predictions among all predictions is defined as the precision.

Another source of discrepancy between our results and those in Steigele et al. [4] is that in the latter the authors used an RNAz scoring measure that placed greater emphasis on conserved covariance between sites, whereas average thermodynamic stability between species was the dominant factor determining which RNAz predictions were defined in our dataset.

Accuracy is the proportion of correct predictions, and correct topology predictions are defined as by Krogh et al. (2001).

Correlations between model parameters were taken into account and confidence bounds for parameters and model predictions were defined [ 9, 10].

A correct prediction is defined as one which a predicted open reading frame is in complete structural agreement with the resulting experimental evidence.

Human activity prediction is defined as inferring the high-level activity category with the observation of only a few action units.

A fuzzy measure of prediction is defined from fuzzy measures of similarity and comparison.

The sensitivity of functional variant prediction is defined as the probability of correctly identifying a truly functional mutation (Functional variants are assumed to be causative/relevant to phenotype).

The specificity of functional variant prediction is defined as the probability of incorrectly classifying a non-functional mutation as a functional one.

Uncertainty of prediction is defined as: <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0006001.e002.PNG" class= inline-graphic"/> However, PRESS and q2 are generally proving to be better indicators than standard error and r2 of how reliable predictions actually are.