Sentence examples for relevance metrics from inspiring English sources

On the other hand, CF relevance metrics showed the opposite pattern, with loss-based features more relevant than gain-based features, in accordance with expectations.

Different relevance metrics are defined, characterized and related.

Online media publishers will focus on Relevance Metrics revealing engagement and time-spent on site, than primitive metrics like page views and traffic.

Video object relevance metrics are presented taking into account the behaviour of the human visual system and the visual attention mechanisms.

Most of the relevance metrics proposed in this paper can also be used in contexts other than segmentation quality evaluation, such as object-based rate control algorithms, description creation, or image and video quality evaluation.

Two feature relevance metrics were utilized for RF: Mean Decrease Accuracy (MDA) and Mean Decrease Gini, as implemented in the randomForest package.

It is freely available for download through the Webscope program.1 Our evaluation is based on a set of novel time-relevance metrics that take into account three different aspects of the problem at hand: precision, timeliness and coverage.

TweetUp, on the other hand, puts less focus on the most recent tweets and instead reorders the entire page of results based on relevance, using metrics like retweet frequency, popularity, and how popular links in each tweet are.

Accordingly, decision curve analysis allows us to assess clinical relevance – which accuracy metrics cannot – without the need for additional data – as required by traditional decision-analytic approaches.

Beyond typical metrics like relevance and how recently an article was published, Filtrbox can also gauge how relevant an article is by analyzing its source (obscure bloggers will have a lower priority than mainstream press).

The search process is based on a four-objective optimization problem that minimizes the number of selected predictors, maximizes the predictive accuracy of a data-driven model and optimizes two information theoretic metrics of relevance and redundancy, which guarantee that the selected subsets are highly informative and with little intra-subset similarity.