English(EN) aggmetrics: Aggregating Classification Performance Measures for Machine Learning

新的Python包`aggmetrics`简化了机器学习分类性能度量

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-23 04:00

已发布`aggmetrics` Python包，旨在增强机器学习任务中分类性能度量的聚合。它通过采用四种不同的聚合算子，将二元度量扩展到多类别、多标签和交叉验证等各种场景。该包还验证了这些度量的结构属性，确保它们被恰当使用，并在可能违反假设时向用户发出警告。 AI

影响通过提供统一的性能度量方法，简化了评估机器学习模型的过程。

排序理由该条目描述了一个在arXiv上作为研究产物发布的新软件包，详细介绍了其在机器学习方面的功能。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.LG TIER_1 English(EN) · Ronaldo Cristiano Prati · 2026-10-23 04:00

aggmetrics: Aggregating Classification Performance Measures for Machine Learning

arXiv:2610.30456v1 Announce Type: new Abstract: aggmetrics is a Python package that extends any binary performance measure expressed in the four confusion-matrix counts to multiclass, multilabel, ordinal, cost-sensitive, soft-label and cross-validation settings, by substituting o…