Sentence examples for constructed benchmark from inspiring English sources

Exact(3)

It was observed that, the overall jackknife success rate by the new predictor on a newly constructed benchmark dataset was over 80.23%, and the Mathews correlation coefficient is 0.73, indicating a good prediction.

For the purposes of model training and validation we constructed benchmark datasets (defined as being relevant, scalable, simple, accessible, independent and reusable [ 32]) by combining known functional variants with background datasets of variants.

As a result, the overall jackknife success rate by the new predictor on a newly constructed benchmark dataset was 0.764, and the Mathews correlation coefficient was 0.522, indicating a good prediction.

Similar(57)

Hence, generating simulated data derived from theoretical considerations is still the method of choice for constructing benchmark datasets and for conducting performance studies on individual methods.

A multiple linear regression (MLR) model was constructed as benchmark for the comparison of performances.

An empirical multiple linear regression (MLR) model was constructed as benchmark for the comparison of performance.

On the psycholinguistic side, specific tests have to be constructed to benchmark humans and machines at different linguistic levels.

We constructed a benchmark model for how an attractor network of place cells can represent large spaces by setting the weights to obtain desired activity profiles (place fields) for each cell [10].

First, we constructed a benchmark set of true orthologous genes using all 1 1 orthologous genes between human and dog (n = 14,994) to obtain a representative dN/ dS value.

We constructed the benchmark dataset from a commercial database, Comprehensive Medicinal Chemistry (CMC) database of Accelrys company [ 21] that is derived from the Drug Compendium in Pergamon's Comprehensive Medicinal Chemistry, which contains 1,573 drug compounds and 56 indications.

To achieve reliable results, we constructed a benchmark set by selecting several best combinations of predictors and/or multi-method cutoff from the different groups mentioned above (highlighted in Table 2, and in Additional file 2, Tables S1 & S2).

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