sdg-queries-evaluation-report
In this study we evaluate the accuracy of our Aurora SDG classification model version 5, to match research papers to the Sustainable Development Goals (SDG's) of the United Nations. The aim of this investigation is to be transparent about the accuracy of the model, because this model might get used in reporting and strategy analysis by University leadership. The measurements are based on a baseline, 'golden set', where researchers of the Aurora universities handpicked publications that relate to an SDG. We measured the Precision and Recall of the Aurora model, and relating it to our previous version of the model, and to the Elsevier SDG model.
basic_statistics
Repository for teaching basics of statistics for machine learning
https://github.com/crypdick/precision-recall-gain
Precision-recall-gain for Python
mochasta
Research products related to the publication "Changing-State Irrelevant Speech Disrupts Visual-Verbal but not Visual-Spatial Serial Recall"