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Nevertheless, our model classifies Pennsylvania as a "tipping point state," which could conceivably be decisive in the electoral outcome.
The SVM model classifies intended touches and unintended touches.
In our case, the model classifies tweets into positive and negative sub-classes.
This model classifies individuals to be susceptible, infectious, or removed and permanently immune.
The energy ladder model classifies household fuels into three groups: traditional, transition and advanced fuels.
On the other hand, the model classifies 100.00% of these compounds in the test set.
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Using an independent data set from the same study area, the model classified correctly 88% of sample plots.
Sensitivity and specificity were considered to evaluate how well the model classified presences and absences respectively.
The conditional independence model classified 1,152 record pairs as matches.
The 4MOT model classified four animals as steatotic and one as cholestatic after 6 hr.
We propose a model classifying cell subsets by the structures they require for CpG stimulation.
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