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As long as there are more correct classifiers than incorrect, then the prediction will be accurate.
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We were more correct than we realized.
Whoever is more correct time will determine.
Mine's far more correct.
However, Rosetta models are chemically more correct.
Which is more correct?
"Reactivations" are then defined operationally as patterns producing correct classifier outputs at reactivation times.
Sensitivity and specificity were also calculated, assuming the human expert as the correct classifier.
However, when the precision of weak classifiers is lower, more weak classifiers are needed to construct a strong classifier.
Nonetheless, the variables in multivariable classifiers should synergistically interact to produce more effective classifiers than individual biomarkers.
Classifier accuracy is loosely correlated with the size of the positive set, where TFs with more known targets tend to have more accurate classifiers (Additional File 3).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com