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The predictors that contributed most to the classification success were based on the red edge band and visible wavelengths, in particular green and yellow.
In rough set theory, the approximation quality γ is the traditional measure to evaluate the classification success of attributes in terms of a numerical evaluation of the dependency properties generated by these attributes.
The study investigates the performance of image classifiers for landscape-scale land cover mapping and the relevance of ancillary data for the classification success in order to assess and to quantify the importance of these components in image classification.
Additionally, factors limiting the classification success shall be identified and addressed.
ConceptNet's mood guess on the lyrics content seems promising but it does not contribute to the classification success when applied like presented here.
Furthermore, in order to increase the classification success, other physiological signals such as blood pressure, respiratory rate, body temperature, and GSR (galvanic skin response) can be used with EEG signals.
Similar(43)
The classification successes of feature combinations which are used in classification are compared.
On the (slightly coarser) scale of the life history analyses, we observed several shifts from pre- to post-flood samples within habitat types (as exemplified by the lower classification success of the cross-validation DFA compared to the pre-flood-only DFA).
To assess marker informativeness before genotyping, we predicted the probable classification success for the 34plex assay with standard error estimators for a naïve Bayesian classifier using Moroccan and Spanish training sets (each n = 48).
The following classification success of the second DFA model was achieved: 91% accuracy, 89% sensitivity, 94% specificity, 94% PPV and 89% NPV (see Table 3).
Therefore, we would like to ask whether the considerable size differences between follicular adenomas and carcinomas in the study of Wang et al. (1) might have contributed to the extraordinary classification success claimed by the authors.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com