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The result from the model performance test using True Positive Rate TPRR) shows that GLM and SVM with pseudo absence data performed highest (TPR = 0.821).
Open image in new window Figure 2 TLD scale model performance test.
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Here, model classification, the issues of scale, and model performance testing are discussed.
To verify the present model, performance tests of the microchannel heat exchanger were conducted at various test conditions with R134a.
Consequently, model performance, tested on the Spellman dataset, is decreased by including the Hasse dataset in the training set.
Note however that future research including other statistical model performance tests should confirm this.
We measured Maxent model performance as test gain and test AUC (random 25% testing) for all analyses omitting individual variable, and for each individual variable alone.
Maximum understandability with the smallest number of selected variables, consistency of the selected variables, as well as variation of model performance on test data, are issues to be addressed for such problems.
Subsequently, the analytical model and performance test of the linking viscous fluid dampers are introduced simply.
In order to assess QoE model performance, three tests were conducted for each study.
The model performance was tested on an industrial case study of multiple refineries and a polyvinyl chloride (PVC) complex.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com