English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

This paper considers the problem of choosing a good classifier. For eachproblem there exist an optimal classifier, but none are optimal, regarding theerror rate, in all cases. Because there exists a large number of classifiers, auser would rather prefer an all-purpose classifier that is easy to adjust, inthe hope that it will do almost as good as the optimal. In this paper weestablish a list of criteria that a good generalist classifier should satisfy .We first discuss data analytic, these criteria are presented. Six among themost popular classifiers are selected and scored according to these criteria.Tables allow to easily appreciate the relative values of each. In the end,random forests turn out to be the best classifiers.

Crit\`eres de qualit\'e d'un classifieur g\'en\'eraliste