Sentence examples for the benchmark prediction from inspiring English sources

Exact(1)

Four of the control groups with VAP-IP within the benchmark prediction range were control groups from SDD studies that had a duplex design; that is, all control group patients routinely received systemic antibiotics.

Similar(59)

For the benchmark of prediction of common secondary structures including pseudoknots for aligned RNA sequences, we created the third dataset from Rfam 10.0 (Gardner et al., 2011).

However, applying the benchmark 95% prediction range to the VAP-IP data as published in all 33 studies yields similar discrepancies [ 12].

The differences in distributions of VAP-IP among the component groups of the prevention studies are also apparent in the caterpillar plots in that 11 of the 33 control groups of the SDD studies versus only 3 of the 35 control groups of the non-antibiotic studies have group specific VAP-IP's which are above the benchmark 95% prediction interval.

Two kinds of time series data, including two benchmark prediction problems and two industrial ones coming from the gas system in steel industry, are employed here to verify the effectiveness of the proposed method.

(For this reason, we do not benchmark predictions based on ranked scores, which are of limited use in real-world applications of de novo SLiM prediction).

The results from the benchmark for structure prediction in Table 1 must be interpreted with care.

The weight thus could be defined as a function of both measurement quality (e.g., as regards accuracy and precision) and informativeness (i.e., the potential usefulness of a particular empirically obtained numeric value in the benchmarking of predictions).

In consequence, a number of frameworks for benchmarking prediction models in software effort estimation have been proposed.

The worst AUC value of PBSI on the benchmark dataset indicated that prediction based on phenotype similarity alone was poor.

As a minority of sequences have no homologous sequences in the benchmark dataset, the overall prediction performance of JPPRED will not be affected.

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