Sentence examples for model evaluation on from inspiring English sources

For model evaluation on the regional scale, simulated maximum peak discharges are compared with post-flood estimations for 32 catchments.

Furthermore, our model evaluation on a real data set shows that in certain identified cases, significant energy consumption reductions can be achieved by utilizing the proposed framework, which opens the door for green solutions within the area of MCS applications.

Briefly, these stages consist of (1) segmentation of soft tissue, (2) registration of the left images to the right images, (3) bilateral subtraction of the coregistered images, (4) filtering of the images to enhance the signal and texture, (5) feature extraction, (6) multivariate models selection using a train set, and (7) model evaluation on a test set.

Comparison with a hard model evaluation based on non-linear regression techniques shows excellent agreement.

Two flowering stages, early and full, were investigated allowing for unique model evaluation based on both statistical performance and biological assumptions.

It may be important to note that the present model evaluation based on AGCM may be limited because the ocean atmosphere coupled process affects the MJO simulation over the oceans, particularly in the western Pacific (Wang et al. 2005; Martin and Schumacher 2012).

Information obtained in the model runs is subsequently summarized and displayed, thus combining both graphical and pertinent numerical model evaluation criteria on the same display.

32 34 As this paper focuses on prediction model evaluation, and not on gene selection, we conveniently construct a 10-gene signature based on the top 10 genes with the smallest Mann-Whitney U test p values for the first two data sets, respectively.

The model evaluation was based on authors' reporting on that specific item in the related articles.

The model construction was based on 70%% of the training data, while model evaluation was performed on the remaining 30%% of testing data, with samples categorically classified into an early and late stage.

The model evaluation is based on the calculated root mean squared error (RMSE), given in absolute value and percentage of ration.