Sentence examples for model prediction scored from inspiring English sources

The model prediction scored a success rate of 50.8%.

The PWM model prediction score of 0.440 was close to the prediction threshold (0.412), consistent with a posterior probability of 0.667.

The PWM model prediction score of 0.450 was slightly above the prediction threshold (0.412), as indicated by a posterior probability of 0.719 (0.5 at threshold, Table 1).

The PWM model prediction score of 0.336 was below the prediction threshold (0.412) and had been assigned a low posterior probability of 0.117.

When a prediction scored highly under more than one covariance model, we selected the highest-scoring model.

Based on this model, a prediction score was developed (Table  1).

To determine the BRCA mutation prediction capability of the Claus, Frank, Gilpin, Evans1 and Evans2 models, the prediction scores were determined for 263 families with breast and/or ovarian cancer patients and compared to the mutation status of these families.

In all models, the prediction score for the BRCA1 families was significantly better than for the BRCA2 families (P-value varied from 0.008 for the Gilpin and Evans1 models to 0.047 for the Frank model).

Thus, the absolute deviation in the model prediction from the perceived score is as less as 0.21 (i.e., 4.35 4.14).

The most repressed predicted targets without canonical 7 8 nt 3′-UTR sites were those of the context++ model, which scored predictions with canonical 6mer 3′-UTR sites.

This fact alone, however, cannot fully explain the observed discrepancy between the vastly improved model prediction and the modestly better AUC scores.