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Exact(17)
The alternative methods were shown to give reliable dimensionality predictions when compared to external validation.
The new method substantially improves the model predictions when compared with traditional least square regression methods.
A correlation of 0.72 was achieved for test set bioavailability predictions when compared with literature values.
Also, the SVR-based correlation showed much improved predictions when compared with those estimated by empirical correlations in the literature.
The proposed model is observed to provide satisfactory model predictions when compared to other models available in literature.
Finally, our time-varying non-linear formulations yield reasonably good predictions when compared with the benchmark experimental results available in the literature.
Similar(43)
This is in line with the performance observed for our set of predictions, when comparing with experimentally determined gene functions [ 34].
The developed ANN model showed very accurate prediction when compared with test data.
However, the IRI-2001 option gave a relatively poor prediction when compared with the other options.
From the results of this study, K-means clustering is more accurate in prediction when compared with the Mycielski algorithm.
Results obtained are reported to be an efficient approach with respect to non-linear response prediction when compared with other conventional methods.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com