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This in turn is expected to provide greater classification performance.
The experimental results showed that the proposed method achieves greater classification accuracy than other vector- and tensor-based methods.
The three-class solution had the highest entropy estimate (0.633 vs. 0.569 for the 3- and 4-class models, respectively), suggesting greater classification uncertainty with the extraction of one additional class.
Greater classification depth was achieved with a complementary transmembrane-focused support vector machine (SVM -based claSVM -based
In contrast, in classifications using local "searchlights" and a whole brain analysis, we find greater classification accuracy in posterior rather than anterior temporal regions.
In the Transcription (11) functional category in particular this facet seems to allow for a greater classification precision to be achieved across all three datasets.
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Distinguishing between normal versus bulged disks demonstrated the greatest classification disagreement.
Misclassification was differential in our data set, as those closest to the highway had the greatest classification error, attributable in part to street network geocoding [ 15].
The left posterior and right mid-STS showed the greatest classification accuracy in discriminations of intelligibility when they were expressed relative to the accuracy in discriminations of spectral detail.
In the receiver operator characteristic analysis, the metric with the greatest classification accuracy in the discrimination between PCA and typical Alzheimer's disease was saccade amplitude error, which had a sensitivity of 93.8% and a specificity of 83.3%.
For example, where subgroup characteristics have been identified using other methods, they have been used to determine the optimal combination of predictor variables that provides the greatest classification accuracy.
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Justyna Jupowicz-Kozak
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