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Most of the steroids (136, 78 percent) were predicted within a 0.5 log unit error, and only four steroids had prediction errors between 1.0 and 1.4 log units.
Twelve out of 19 cases had prediction scores of ≥85%, and the number with scores of <10% was 4 out of 19 (Fig. 3a).
Rules set utilizing apoB-100-normalized C-I and C-III, CA19-9 and CRP quantitative serum levels generated for the RNTech source and validated on the independent Asterand source had prediction accuracy of 88.4% and 74.4%, respectively.
The OPLS-DA model providing the optimal linear combination of protein abundances for these two proteins had prediction accuracy of 91.2% (Fig. 3B).
The resulting models had prediction accuracies for training, test (containing 275 compounds together), and external validation (109 compounds) sets as high as 89%, 71%, and 74%, respectively.
Similar CP results were obtained with P-values of 0.0001, 0.00005 and 0.00001 which all had prediction results of 100% (Table 1); only the two latter did not show the same clustering performance as the others as X. arboricola pv.
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Eight teams had predictions with CDI prediction F-scores above 80%.
ADTrees always have prediction nodes as both root and leaves.
Tier 1 includes cell-lines that have predictions from all five methods, whereas Tier 2 includes cell-lines that have predictions from two (CSI-ANN and RFECS) methods.
The prediction score has useful prediction accuracy.
Mr. Sharpton, for one, had a prediction.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com