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The general purpose of the paper is to explore the way of performing renewable energy balance predictions prognostics so that energy market actors can act consequently.
However, previous studies have indicated that the UUN is too insensitive for determining total urinary nitrogen, and would therefore interfere significantly with nitrogen balance predictions [ 30- 32].
In each of these cases, the activity of the pathway was not predicted, based on the biological evidence incorporated in the stoichiometric model and the expected biomass composition, and the comparison of flux balance predictions and gene expression data indicated relevant modifications of our metabolic model.
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We propose to use an ensemble of decision rules generated from random forests and 1-norm regularization to balance prediction performance and interpretability of regression problems.
Further, the proposed approach obtains balanced prediction performance with the under-sampling technique.
k is a parameter, which balances prediction factor (D−R) and stability factor S. Then, the stability evaluation index can be computed by: S f,F =frac{1}{i-1}sum_{j=1}^{i-1}Sleft(F_{f},F_{j}right) (6).
BACC ((Sensitivity + Specificity)/2), balanced prediction accuracy.
Legend: BACC (Sensitivity + Specificity)/2, balanced prediction accuracy.
The goal criterion of classification performance was balanced prediction accuracy (BACC = (Sensitivity + Specificity)/2).
F-score and F0.5-score are used to assess balanced prediction quality on both positive class and negative class.
A framework for ADR prediction is shown in Figure 4, which includes drug and network information retrieval, feature selection, cross validation, sample balancing, prediction models, and performance assessment.
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