Sentence examples for predictions and evaluate from inspiring English sources

Therefore, energy and carbon models which can undertake predictions and evaluate the potential of different energy efficiency and renewable energy interventions for the housing stock are essential for implementation of these policies and initiatives (Cheng and Steemers 2011).

Additional data regarding PAH uptake and metabolism in biota are needed to refine predictions and evaluate sources of discrepancies.

In case of polyp configuration and grading, ordinal regression analysis was employed, with factors of expression level of different mucins, tumor site, and gender included, in order to generate predictions and evaluate the importance of mentioned predictor variables.

One hypothesis is that these neural resonances reflect the involvement of the motor system in deriving predictions and evaluating hypotheses about the incoming observations.

Our method, CvManGO (Computational versus Manual GO annotations), pairs literature-based GO annotations with computational GO predictions and evaluates the relationship of the two terms within GO, looking for instances of discrepancy.

Therefore, it is necessary to measure the accuracy of neighborhood prediction and evaluate the effectiveness of our prediction schemes.

We propose the algorithms for the message prediction, and evaluate them from the viewpoint of the success ratio and speed-ups.

Results: We present a novel algorithm (MI-1 SVM) for binding site prediction and evaluate its performance on a set of CaM-binding proteins extracted from the Calmodulin Target Database.

Additionally, we show how one can obtain interpretable prediction results and evaluate information on which of the residues of the V3 loop contribute to the improvement of prediction accuracy.

To measure how the GBA genes collectively contribute to the disease, we used them to build prediction models and evaluate the performance in 10-fold cross-validation (CV).

Therefore, the research questions this paper is concerned with are: examining the possibility of predicting scores of final exams as a measure of learning performance, using information collected during the learning progress, identifying the learning activity metrics necessary for the prediction, and evaluating the effectiveness of note taking instruction.