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Maxent simulations are analyzed using binomial tests of omission rates and the area under the receiver operating characteristics (ROC) curves to examine the model performance, the accuracy of geographic distributions, and the significance of environmental variables for discriminating suitable habitats.
In a sensitivity analysis, three parameters were identified to strongly influence the model performance, the surface area of the biofilm per unit volume of packing material (AS), the empty-bed residence time (EBRT), and the microbial yield coefficient on BA YBBA YB
For a detailed description of model performance, the reader is referred to other publications (e.g., "MIROC3.2 medres" in Randall et al. [23]).
To further evaluate model performance, the model was applied to new data and the results checked by a trained annotator (one of the annotators of the training data set).
Despite the differences in model performance, the variable importance ranking was largely stable across models, with BV and MfV being ranked as first or second most influential variables across all study areas (Fig. 4).
To calculate the distributions of minimum model performance, the same steps are followed, with the exception that S is randomly permuted before calculating the values for the statistical metrics.
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For model performances, the models will be evaluated in terms of out-of-sample forecasting statistics.
Generally, the larger the PCC value, the better the model performance, while the lower the RMSE/MAE/MAPE value, the better the model performance.
To further evaluate the models' performance the echocardiography data obtained within ±3 month from the index hospitalization for 854 subjects admitted to one of the hospital were assessed.
To allow better evaluation of e-model performance, the 'no diabetes' group was restricted to individuals 50 years or older since the incidence of diabetes is strongly associated with age and may increase the potential to identify false negatives.
The measures of the model performance of the model h2 are only slightly worse than those of h4.
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CEO of Professional Science Editing for Scientists @ prosciediting.com