Sentence examples for predictions estimated using from inspiring English sources

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Even the predictions estimated using the same training set and validation set (self-validation: validation set Comm estimated with training set Comm and validation set Prof estimated with training set Prof) fail.

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Natural gas and furnace oil price predictions are estimated using forecasts obtained from Sproule Associates Incorporated [32].

The subcellular localization predictions were estimated using PSORT (http://wolfpsort.org/).org/

The mean error in 10-year absolute risk predictions, as estimated using the three case-cohort weighting methods, in comparison to the full cohort estimates, is summarised in Figure  1 for a range of sampling fractions.

Primer sets used are listed in Additional file 4. The isoelectric point and molecular mass predictions were estimated using the compute pI/Mw tool (http://expasy.org/tools/pi_tool.html).html

In the current study, when using the joint reference dataset, genomic predictions were estimated using a two-trait model, in which the same biological trait was considered to be a different trait in the CH and NH populations.

As described in the Methods section, error in age prediction was estimated using data from 80% of the subjects to predict ages in the remaining 20%.

As expected, the prediction performance estimated using the "compounds out" protocol is generally lower than that using "mixtures out" validation.

The results of our comparison of the performance of three MHC-II binding peptide prediction methods estimated using datasets of unique peptides with that obtained using their similarity-reduced counterparts shows that the former can be rather optimistic relative to the performance of the same methods on similarity-reduced counterparts of the same datasets.

The overall accuracy of prediction was estimated using a Partek algorithm that used a 2-level nested cross validation strategy.

For a given value of the meta-parameter(s) θ the prediction model is estimated using K-1 folds, and the predictive capacity of the model is assessed by applying the estimated model to the individuals in the left-out fold and this process is repeated K times so that every fold is left out once.

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