Sentence examples for models with poor from inspiring English sources

Models which have good performance should be rewarded and models with poor performance should be penalized.

Neutral winds are compared to the HWM-90 and CTIP-200 models with poor agreement.

These black box models (models with poor interpretability) will generally perform better on complex problems in comparison to white-box models (models with good interpretability) such as Decision Trees (DT) or Linear Regression (LR).

In the models with poor MJO simulation, the BL convergence is very weak to the east of MJO convective center, while the associated shallow convective heating as well as the vertically tilted structure disappears (Jiang and al 2015).

However, most of the optimal techniques follow computationally demanding, time consuming, iterative procedures that usually result in non-robustly stable models with poor frequency response resemblance to the original high order model in some frequency ranges.

The method is based on vertex clustering to allow handling of mesh models with poor vertex connectivity such as those obtained by 3D scanning, and accommodates conventional meshes with multiple connected components and point-based models with no connectivity information.

Gentamicin sulphate (GS) was loaded as high soluble and hygroscopic antibiotic model with poor flowability.

In this vein, it would be possible to prioritize accuracy or speed to achieve more impressive results, but training a model with poor accuracy in 20 seconds isn't super valuable.

We noted that the only other class with similar side-chain interaction within the steric-zipper, class 5 (the strands within a β-sheet are stacking in an antiparallel arrangement; the β-sheets are antiparallel, and have the same sides facing each other, 'face-to-face'), led to a model with poor π-π stacking (Figure 11).

Interestingly, myocardial recoveries in the pulsatile group occurred in pediatric immature myocardium of animal model with poor coronary collaterals [ 53, 54].

However, regression trees may "overfit," following the pattern of noise too closely and producing a complex model with poor predictive power in new data sets.