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It was the first time I'd ever seen what I'd considered a list of positive words labeled as "negative".
False negative (FN) refers to the number of positive tuples that were incorrectly labeled as negative.
Others may fear they will be labeled as negative people, or they don't have access to their manager to ask these types of questions.
There is a small chance that, for a small number of molecules, this assumption is not valid, and they are therefore incorrectly labeled as negative examples.
Vectors generated from reviews that have at least 4-star ratings are labeled as positive, while vectors labeled as negative are generated from 1-star and 2-star reviews.
Secondly, because of the particular way we calculate the final pocket score (see Equation 7), even the predictions labeled as negative (having P 1 probability lower than 0.5) contribute to the score to some extent.
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We have no means of giving a definite answer to this question, but we suppose that some pockets are labeled as negatives incorrectly because of the inherent lack of complete experimental data (complete in a sense of confirming/ruling out binding with all possible ligands).
The edges "→" were labeled as positives and "←" were labeled as negatives.
True negative (TN) instances in ground truth for motif data is rare as instances labeled as negatives in the ground truth may be discovered to contain motifs in the future.
4 (3.8%) patients labelled as negative by the emergency physicianwere detected to have free fluid during the radiologist's scan.
Cloforex is labelled as negative in the dataset [23] but Ryrfeldt [24] suggested that it should be labelled as positive, and procaine is a CAD which does not induce phospholipidosis, perhaps due to its low logP.
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