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The performance of a classification system is typically evaluated by F measure, which is a composite score of precision and recall.
The best score of precision is achieved by NWE, followed by PPSampler2.
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But war accurately describes the sustained combat operations in which a dozen allied jets scream into Iraqi air space to fire a score of precision-guided munitions at multiple targets, responding to attacks from surface-to-air missiles or antiaircraft guns.
This result is reflected directly to precision, shown in Figure 5. Their scores of precision are quite low.
Half an hour later, stealthy F-22 Raptors, F-15 Strike Eagles, F-16 Fighting Falcons, supersonic B-1 bombers and unmanned drones swarmed overhead and unleashed scores of precision-guided bombs.
The winger took a sympathetic delayed pop pass and seared through the gap before rounding Maxime Medard and diving over for a score of surgical precision.
Figure 1 Mean and standard deviation of multi-label scores of accuracy, precision, recall and F1 measure by α ratio for 100 randomly selected events from our dataset.
The F-score (harmonic mean of precision and recall) at different thresholds were plotted as seen in Figure 4E and F. F-score of about ~58%and~40%0% at a threshold of 33 and 28 were obtained for CC and MF respectively.
Accuracy of these methods was measured using an F1-score (harmonic mean of precision and recall).
Fig. 1 Evaluation scores in terms of precision, recall and F-measure values are measured for ChemSpot and tmChem NER tools over gold standard corpora.
For both methods, prediction accuracy on validation sets is presented as an F-score, a combination of precision and recall of a SVM model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com