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For each of the six dendrograms constructed by using the three iterative and the two tree algorithms, the optimal partitions given by the two evaluation indexes implemented in Jerarca (Q and H) were exactly the same.
Table 3 also lists the performance of the six advanced machine learning classifiers measured by the two evaluation approaches.
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Figure 1 (B) and (C) show the classification performance by the trained classifiers on the two evaluation sets.
To determine the perception of the two evaluation methods by ring test participants, questionnaires that were completed by risk assessors participating in both phases of the ring test were analyzed.
One of the two evaluation assemblies by the SOAPdenovo team included a bird assembly that used Roche 454 and Illumina.
The findings from the survey and interviews are presented by the four evaluation question domains.
Based upon parsimonious models (see Definition 13), minimal feature subsets are returned by the iRDA filter and the three reference filters are evaluated by using the three evaluation measures Error, AUC, and MCC.
In this case, the magnitude of the difference was also assessed with ES coefficients, but computed dividing the difference in the scores between the two evaluations by the SD at baseline.
Internal reliability was verified by paired comparisons of consistency between the two evaluations for all 144 pictures (intra-class correlation coefficients (ICC, r), and kappa coefficients (k)).
To evaluate how different AFP methods perform on the NA and NP tasks, and how these evaluation protocols compare with CV, we compared the performance of GOstruct, binary SVMs and Guilt by Association GBAA) using the three evaluation setups (CV, NA and NP) using data from yeast and human.
No additional concerns were provided by subjects at any of the four evaluation sessions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com