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The analysis shown in Fig. 11 states the dependency of final classification model w.r.t. the number of instances that exist in the mapper.

To find the best separating variables between FM and non-FM groups, a stepwise discriminant analysis was run, using Mahalanobis distance, F probability of 0.05 for entry and 0.1 for removal, classification function coefficient by means of Fisher's linear discriminant test, and leaving one out of final classification.

Second, both SNP selection by GLM1 and building of PCA-based classifier model were performed in [8] on the same 100 subjects as used for estimation of final classification accuracy.

For increased reliability of final classification, our dataset of 10,884 UTs was screened for candidate transcripts with an identical prediction by both coding potential prediction tools, CPAT and CPC.

C4.5 allows the setting of several parameters that influence the branching and quality of final classification tree: most notably there is one parameter that determines the smallest number of cases to be included in a single group (mentioned already above), and another parameter that determines the degree of post-pruning performed.

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Furthermore, at level 1, the combination of parameters that was selected most often for the k = 10 test folds, i.e. mode of the selected combinations, was used for final classification of instances in the outermost test fold.

The largest class containing the largest number of samples is treated as a leaf node for final classification of the phenotype.

(4) We show, through the use of a Markov random field model, that standard spatial context can be integrated, resulting in an improvement of the final classification of image regions.  .

The starting order for Leg 1 was "Priority 1" (P1) and P2 WRC drivers in the order of the final classification of the 2006 season, followed by all other drivers as decided by the ACM.

Our analytic approach was based on a comparison of test performance characteristics in the independent group (with blinding to spine MRI) and the non-independent group (without blinding to spine MRI), using a reference standard of the final classification of lumbar nerve root impingement by the examining physician.

As postclassification enhancement such as filtering of the final classification results reduce the heterogeneity of the classified image, filtering was not carried out in this study.

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