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When temporal signature extension is considered, the use of signatures derived from a single-date image may result in classifications with an extremely low accuracy.
We believe that these factors resulted in classifications with a much greater degree of face validity than existing methods to identify AEs (such as incident reports and chart reviews).
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The new distance is used in classification with the nearest neighbor rule.
With the decreasing of sample amount for training model, the Cubic SVM classifier still performs well in classification with accuracy of 86.9%.
The PAM50 gene set has high agreement in classification with larger "intrinsic" gene sets previously used for subtyping [ 1, 3, 4, 8], and is now commonly employed [ 9- 12].
Using about 9 dimensions we can represent the same information (reducing the noise) and obtain very high precision in classification with a considerably smaller dataset.
We hope it will show the huge discrepancies in classification with the standing WHO classification and as a result generate interest and funding so as to streamline our records.
Also, even though SCNA data provides notable increase in performance, using point mutation data alone still results in classification with an accuracy sufficiently high to be of clinical interest.
The mean correlation between bias in classification with a particular AS during a session and the normalized response to that AS increased over the course of the recording session (Fig. 6B).
On average performance, k-TSP and SVM are comparable in binary classifications with the 9 datasets.
After averaging the four or five replicates per compound, this resulted in 132 classifications, with 129 being correct.
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