Sentence examples for mean precision from inspiring English sources

Retrieval models based on simple string matching performed better than models based on semantic tags alone with respect to best mean recall and mean precision at high recall-levels.

Models combining both simple string matching and semantic tagging performed better than separate models with respect to best mean recall (0.95) and mean precision at high levels of recall.

This approach, using an internal standard method, gave mean precision and accuracy (RSD 2.56%, 2.97% and bias 0.21%, −0.99% for cyclohexane and toluene, respectively) not obtainable by the more commonly used external standard ones in the presence of real sample matrices.

We measure a mean precision of about 95.4%.

The PR curve indicates the mean precision and recall of the saliency map at various thresholds.

The mean precision of the individual classifiers for cyber hate was 0.85, the mean recall 0.54, and the mean f-measure 0.656.

Mean Average Precision (MAP) is the mean of average precision scores.

Mean average precision (MAP) is defined as the mean of the average precision over all (40) queries.

(i) Mean average precision (MAP) score is used to summarize the precision recall curve and is the mean of the average precision scores across recall levels.

Its mean average precision is 87.5%.

SVMmap: Learns rankings that optimize Mean Average Precision (MAP) as the performance metric.