Sentence examples for evaluation which means from inspiring English sources
The cluster results also agreed with the findings of fingerprint similarity evaluation, which means global profiles were highly similar for RFH samples from different origins even though their contents of the active components were various.
They call it impact evaluation, which means taking stock to understand what happened and learning from your mistakes.
To add a cherry on top, Deep Neural nets are well suited for parallel mini-batched evaluation, which means that AI logic for a 128 NPCs or 32 water simulations might be evaluated simultaneously on a single graphics card.
Each new therapy means a new evaluation, which also means a yet another new label column.
Certain concepts are introduced in this chapter for the reliability evaluation at component level, which means that the concern is on the failure probability of problems modeled by a single limit-state function.
Most of the adaptation plans, policies, and strategies have tried to be implemented, but most of the respondent's evaluations indicated that inefficient, which means did not meet the demand up to the anticipated level.
(2) Absolute criterion (AC) = (u_{text{t}}^ /u_{text{in}}^,) which means the evaluation depends on both the snow conditions and flow fields.
Certain concepts are introduced in this chapter for the reliability evaluation at a component level, which means that the concern is on the failure probability of problems modeled by a single limit-state function.
In contrast with SVM-OAA, the ensemble version EnSVM-OAA helps to slightly improve the overall classification accuracy Acc, with possible sacrifice of two other evaluation metrics on most datasets, which means that classification accuracies between majority and minority classes are further increased.
Limitations of the present evaluation include its before after design, which means that observed results may not be due to the HEP intervention.
Test scores should figure in evaluations, but the measures have to be fair, properly calibrated and statistically valid — all of which means that these evaluation systems cannot be rushed into service before they are ready.
