Sentence examples for balanced predictions from inspiring English sources

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Analysis of our results revealed that the new method delivers more balanced predictions than our previous work for mutations in residues with a different secondary structure and solvent accessibility as well as for different magnitudes of stability changes.

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The RF-original exhibited the most balanced prediction accuracy, with an accuracy of 84.26% for ignitions and 88.35% for nonignitions.

BACC balanced prediction accuracy.

In addition, the network setup for optimum AUC area gives a balanced prediction for query sequence, resulting in moderately high (optimum) recall/precision values.

The most balanced prediction model was that in which the three success criteria were included, with age, surgical technique, and infection at surgery being excluded as variables.

Cognitive restructuring involves teaching clients to be more aware of their negative thoughts, to evaluate evidence of the extent to which their thoughts are accurate, and to replace unrealistic thoughts with more-balanced interpretations, predictions, and assumptions.

The most important feature of MESSA is a broad and balanced incorporation of predictions about local sequence features, domain architecture, three-dimensional structure and function.

However, requiring a common gene signature to be predictive in both species resulted in a substantial decrease in balanced accuracy for prediction of current exposure to cigarette smoke (from 96.5% to 80%), suggesting species-specific responses exist.

We find it rather remarkable that the accuracy of balanced 3-way prediction can be improved to more than 50% just by using simply defined sequence divergence features, while otherwise completely hiding the amino acid sequence of the protein.

The results specifically show improved (1) accuracy and balanced accuracy in the predictions, (2) specificity and positive predictive value, which are an indication of reduction in false positive predictions, and (3) Kappa coefficient, across both the datasets.

MCC provides a balanced evaluation of the prediction, especially if the two classes are of different sizes [7, 14].

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