Sentence examples for achieve recall from inspiring English sources

The phrase "achieve recall" is correct and usable in written English.
It can be used in contexts related to memory, learning, or information retrieval, often in discussions about cognitive processes or data retrieval systems.
Example: "In order to improve our learning outcomes, we need to develop strategies that help students achieve recall of the material covered in class."
Alternatives: "enhance memory" or "improve retrieval".

Exact(2)

The presented system can achieve recall and precision rates of up to 95% for the recognition of the described head rotation events.

Estimates from the Philippines suggest that using television it costs $0.06 to reach one person, one time, and costs $0.10 to achieve recall [ 10]. Television media is appropriate because automobile drivers should be affluent enough to access television.

Similar(58)

The spatial recall results show that SaTScan™ achieves recall that is statistically significantly higher than DP for outbreaks of coverage below 35% and low frequency.

As shown in Table 2, although the precisions of both approaches are extremely low due to the limited size of positive data, FBA achieved recall of 0.93, higher than PEBA.

At a precision of 18.5% [reported by (Youn et al., 2007)], D iscern achieves 15% higher recall than FRcons (D iscern and FRcons achieve 65%and50%0% recall, respectively).

Most of the annotation methods achieve low recall due to the large number of available fine labels, i.e., vocabulary words.

It also outperforms the state-of-the-art on AUC and uses much fewer object proposals to achieve comparable recall rate.

These experiments indicate that the lexical resources provided by FlyBase are complete enough to achieve high recall on the gene list task, and that normalization requires accurate disambiguation; different strategies for tagging and normalization trade off recall for precision.

With these new features, we were able to achieve better recall values while maintaining high precision.

The part-based and Hough transform-based methods fail to achieve high recall curve values in the data set.

When comparing the models built here to the Naïve Bayes method proposed by Koutsoukas et al. [39], in order to achieve a recall of between 80 and 87%% as reported in this study, the author's method requires top-k positions between 6 and 27 in order to achieve comparable recall performance.

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