Sentence examples for top precision from inspiring English sources

With the use of the winner threshold value described in Section 2.3, a top precision for an unknown nucleotide sequence of length equals to any of the thirteen long or short sequence sets can be obtained.

A winner threshold value (chosen from the best among two defined threshold values and one other threshold value) offers a top precision for classifying an unknown sequence of specified fixed lengths.

For a set of exon and intron training sequences, the winner threshold value, T w (P3), is first chosen among the three threshold values, T m (P3), T p (P3), and T c (P3) that yields a top precision during testing.

The Top Precision (P0) is the interpolated precision at recall 0, i.e. the best precision observed at all ranks.

The top precision (interpolated Precision at Recall = 0), which is of major importance for a fully-automatic system, is also given.

For these different outputs, specific metrics have been developed, e.g. Top Precision for factoid answers or passage-based metrics for answers containing a full sentence (12).

Note that it is often the Top-1 and Top-2 precision values which are the most practical indicator of a recommendation system, thus We/Co-MIML are the most competitive.

Table 1 shows that the single RegEx (mean average precision = 0.4 and top-precision = 0.64) system performs better than the different settings tested for the vector space module, with tf.idf (term frequency-inverse document frequency) and length normalization (cosine...) factors, so that the thesaurus-powered pattern-matcher provides better results than the basic VS engine for SNOMED mapping.

> -wrap-foot> > -wrap-foot> Our QA engine with supervised macro-reading in MEDLINE achieved a top-precision ranging from 0.58 to 0.69 to answer functional proteomics questions, and Recall values up to 0.75 at R5 for questions that expected an average of 1.3 correct answers.

Top-k precision is a frequently used evaluation criterion in recommendation systems [18], we consequently record the precision values (mean  ±  SD) in Table 6 among the Top-k ((k=1,2,ldots, 5)) recommendations.

The top-k precision rate is then used to assess the effectiveness of the unsupervised patterns and the pattern-based ranking strategy.