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In addition to this, the algorithm was validated on a separate credit scoring dataset, which contained 7190 credit scoring samples.
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We noted that NRSF was the best scored dataset overall and also had the longest motif, and therefore hypothesized that PWM scanning performance was generally related to motif length or the motif's specificity.
The three variants combined with SVM are evaluated on two well-known German and Australian credit scoring datasets.
Specifically, it is well known that as historical credit scoring datasets get large, these nonlinear approaches while highly accurate become computationally expensive.
Supplementary information contains normalized ratios (Dataset S2), z-scores relative to the unselected library (Dataset S3), z-scores relative to the enrichments performed in the media without antibiotics (Dataset S4), combined z-scores (Dataset S5), and the combined z-scores considered significant (Dataset S1).
Last, SWDA (S) and CVA (C) significant sites are shown within each factor score dataset (pah, pss, ms, cc, ec and all).
Figure 2 shows the median MATCH scores (dataset MZ44-2) of both methods for each species compared with the average tree distance to its closest neighbor.
These values strongly contrast with MED scores of Table 2, which are between 0.00 and 3.19 nM/mer, with the lowest MED score dataset represented on the far left side of Figure 3.
Extensive efforts have been put into creating a clean and accurately annotated and scored interaction dataset.
This was done for the Spot Presence, Spot Size 1, and Courtship Score datasets.
CVA for the six factor score datasets resulted in 2 canonical variates for each analysis (Additional file 1: Tables S3 & S4).
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CEO of Professional Science Editing for Scientists @ prosciediting.com