PyCM
PyCM: Multiclass confusion matrix library in Python - Published in JOSS (2018)
com.tdunning:t-digest
A new data structure for accurate on-line accumulation of rank-based statistics such as quantiles and trimmed means
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.
@stdlib/stats-incr-mda
Compute the mean directional accuracy (MDA) incrementally.
@stdlib/stats-incr-mmda
Compute a moving mean directional accuracy (MDA) incrementally.
https://github.com/alok-ai-lab/mrep-deepinsight
Multiple Representation DeepInsight technique
metrics_for_individual_tree_mortality_models
How performance metric choice influences individual tree mortality model selection - code and data
https://github.com/kukuster/ci_methods_analyser
Analyse efficacy of your own confidence interval (CI) methods