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Validations have revealed that the entrainment ratio was predicted within 4% absolute error, while the condenser operating pressure predictions have an average absolute error of 5% with respect to experimental measurements.
These predictions have an average absolute deviation of 8.6 kcal mol−1.
However, model predictions have an inherent uncertainty (i.e. prediction uncertainty) originating from uncertainty in input data, model parameters, model structure, boundary conditions and software.
False negative predictions have an impact on human health and the environment, and thus assessors want to avoid them.
The prediction accuracies of the classifier and of the score-based predictions have an evident drop of performance around 0 (Figure 12(b)).
The results show that when the value of Δt is 0.6s or lesser, 70% of all predictions have an inaccuracy of less than 20%.
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Examining the slope of the predicted target concentrations shows that GLAM predictions have a slope of 0.997, while the Abdueva et al. [4] predictions' slope is 1.007.
Predictions have a habit of failing.
The theoretical predictions have a good agreement with experimental results.
It comes with uncertainty, which means the model's predictions have a margin of error.
If the map is more scrambled, however, those predictions have a greater margin of error.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com