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We changed the follow-up time in the model from 1 month to 18 months and found that the classification improved up to month 6, but after that there was no improvement in the percentage of patients correctly classified as having progressed.
The development of the method of compound hierarchy classification improved accuracy of remote sensing classification greatly.
Stand-level classification improved with post-classification correction, which removed high-frequency year-to-year variability in forest condition.
Conclusion: Optimization of the cervigram classification improved performance over a single interpretation in this population but suggested the limits of static visual screening.
The predictive accuracy of N classification improved significantly as measured by concordance.
For the 57 non-survivors, classification improved using the model with PESI + WBC count; 1 subject (cell in underline) was reclassified down and 4 subjects (cells in bold) were reclassified up.
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With depth 4, the quality of the classification improves steadily until reaching a plateau after 100 trees.
We share this view with Jhuang et al. [8], who have shown that the precision in action classification improves with greater accuracy of the limb estimations.
The results may provide some evidence for flood regime classification, improve the overall evaluation of the sediment reduction benefits of the runoff regulation system, enrich runoff regulation theory, and improve the runoff control at the catchment scale.
As skiers in this classification improve, they require less use of this equipment.
Classification improves most when eliminating 75% of all features, considerably reducing dimensionality of the datasets.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com