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 Tools annual

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 Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

The classification problem's complexity assessment is an essential element ofmany topics in the supervised learning domain. It plays a significant role inmeta-learning -- becoming the basis for determining meta-attributes ormulti-criteria optimization -- allowing the evaluation of the training setresampling without needing to rebuild the recognition model. The toolscurrently available for the academic community, which would enable thecalculation of problem complexity measures, are available only as libraries ofthe C++ and R languages. This paper describes the software module that allowsfor the estimation of 22 complexity measures for the Python language --compatible with the scikit-learn programming interface -- allowing for theimplementation of research using them in the most popular programmingenvironment of the machine learning community.

problexity -- an open-source Python library for binary classification problem complexity assessment