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The models, performances are evaluated based on two statistical indices to measure the modeling error and Taylor diagram.
Similar(59)
No statistically significant differences in the models' performances were found.
Model performances are summarized in Table 1.
The best model performances are emboldened and a * flags models performances that are significantly different from HME3M (α = 0.05).
The models performance was stable in larger data sized problems.
Models' performance was assessed through discrimination and calibration.
As is typical with predictive modeling, our models' performance is affected by the percentage of uncontrolled asthma in AST assessments.
Comparisons of model performances were based on visual assessments of stand-level trajectories.
Comparing PLS with MCR-ALS, similar model performances were reached.
In contrast, D21_Ca model performances were poor in all intervals.
Model performances were tested using cross-validated subsets (60% training, 40% testing) and ROC analysis.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com