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We evaluated the robustness of our features by calculating chi-squared statistic for each feature.
We further evaluated the robustness of our results in two ways.
We evaluated the robustness of our optimum conditions by means of a Plackett Burman design.
Specifically, we used the PROTGAMMAAUTO parameter to select the optimal amino acid substitution model, specified spotted gar as the outgroup, and evaluated the robustness of the result using 100 bootstraps.
We evaluated the robustness of the host Symbiodinium community against removal of Symbiodinium OTUs as a measure of ecosystem resilience against perturbations by quantifying the number of remaining samples connected through the presence of OTUs and the size of largest connected component.
Using high-resolution data from soil cores, we evaluated the robustness of a third order polynomial function to model the vertical SOC profile.
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For the same reason, it is also unnecessary to evaluate the robustness of our evaluation.
Attempts to evaluate the robustness of forecasts inexorably lead to evaluations of insights.
Download Evaluating the Robustness of Learning Analytics Results Against Fake Learners at MIT DSpace.
Simulation studies were conducted to evaluate the robustness of the proposed model.
A cross-correlation coefficient (CC) was calculated for each fit to evaluate the robustness of the nose-poke periodicity.
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