Sentence examples for predictions are defined from inspiring English sources

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

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

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.

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

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

The variation of running time, mean square error (MSE), number of training and testing data, and other indices for measuring the accuracy in the prediction are defined and calculated in order to inspect advantages as well as the shortcomings of each algorithm.

First, of course, is the issue of how attention and prediction are defined.

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

An incorrect nucleotide prediction was defined to be a nucleotide within a predicted coding region that is within an intron or intergenic region in the high-confidence set.

A correct nucleotide prediction was defined to be a nucleotide within a predicted coding region that is also within a coding region of the high-confidence set.

The threshold of a positive prediction was defined to have a more than 0.5 of cross-validated predicted probability.