Sentence examples for model under evaluation from inspiring English sources
First, we compute the relative mean absolute percentage error (rMAPE) statistic (Table 2), that ponders the MAPE of the model under evaluation against the MAPE of the benchmark model.
This accuracy measure consists of a ratio that gives the proportion of periods in which the model under evaluation obtains a lower absolute forecasting error than the benchmark model.
For this, a threshold value of 30 is selected, and pixel values greater than or equal to 30 are set to 1 while values less than 30 are set to 0. A given image in its vectorized binary form is reconstructed by sampling the top most hidden layer vector from the latent model under evaluation followed by sampling the visible vector based on the generated hidden vector.
Unexpectedly, for the model under evaluation, housekeeping genes and noncoding regions shaped estimations in a similar manner, which points to a nonrandom role of the latter in C. trachomatis evolution.
The r/m and ρ/θ mean estimates are about 1-log above those obtained for the wide genomic data set, but they are similar to the HK-MLST data set estimates, which suggests that this large set of noncoding regions and these specific HKs shape these evolutionary parameters in a similar fashion for the model under evaluation.
Here, the Bayes Factor is a ratio of two marginal likelihoods (i.e. two normalizing constants of the form p(Y obs | M), with Y obs the observed data and M an evolutionary model under evaluation) obtained under the two models, M0 and M1, to be compared [ 16, 17]: Bayes Factors greater (smaller) than 1 suggest evidence in favor of M1 (M1).
Arguably, assumptions built in simulations may fail to represent the true complexity of biological systems and, typically, simulations tend to favor some of the models under evaluation.
While all intervention activities will be uniformly delivered across the study sites, where necessary the activities will be customised to fit the aims and purpose of the two different models under evaluation.
In the AP model, DMU under evaluation is excluded from reference set and using other units, the rank of given DMU is obtained.
In the AP model DMU under evaluation is excluded from reference set and by using other units, the rank of given DMU is obtained.
