Exact(5)
In the offline analysis it has been shown that the proposed method significantly increases classification performance.
Using synthetic Landsat imagery increases classification accuracy compared to using single-date Landsat data, but accuracies were never as good as a classification based on original data.
We observe then that for C4.5, infection betweenness centrality is by far the most important feature as adding infection betweenness centrality to the feature set in all other cases increases classification accuracy.
The procedure performs voxel selection on the training set only, yet increases classification performance of the test data.
Global signal average subtraction, which was applied as part of per-condition normalization procedure, increases classification performance (Raizada et al. 2010; see also Aksoy and Haralick 2001) and may be beneficial, as it prevents voxels with higher values and range to dominate the classifier"s weights (Coutanche 2013).
Similar(55)
For classification, this medication effect could result in increased separation between groups and therefore increased classification accuracy than would be the case in unmedicated samples.
Independent predictors of all-cause mortality were decreasing 6-MWT distance, increasing age, increasing NYHA classification, increasing log NT pro-BNP, decreasing diastolic blood pressure, decreasing sodium, and increasing urea.
The use of ancillary data generally increased classification accuracy and showed a similar potential for increasing classification accuracy than the selection of the classifier.
Three-dimensional modeling using shape-from-shading principles may further increase classification accuracy.
This reduction in point density leads to increasing classification and interpolation errors (Anderson et al. [2006]).
On the other hand, having a very large feature vector will make the classification process slow and is not guaranteed to increase classification accuracy.
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