多分类的评价指标PRF（Macro-F1MicroF1weighted）详解 也许是由于上学的时候⼀直搞序列标注任务，多分类任务⼜可以简化为简单的⼆分类任务，所以⼀直认为PRF值很简单，没啥好看的。然鹅，细看下来竟有点晦涩难懂，马篇博留个念咯~前⾔ PRF值分别表⽰准确率（Precision）、召回率（Recall）和F1值（F1-...
最后计算 Macro F1, F1A= 0.5, F1B= 0.6, F1C= 0.67, F1D= 0.75, Macro F1 = (F1A+F1B+F1C+F1D)/4 = 0.63. Weighted Average 从计算的角度讲,先对每个类求值,再取平均得到Macro Average会比较容易.但是当数据集中存在严重类别不平衡的问题时,就不适宜单纯使用Macro Average.此时可以采取weighted av...
最后计算 Macro F1, F1A= 0.5, F1B= 0.6, F1C= 0.67, F1D= 0.75, Macro F1 = (F1A+F1B+F1C+F1D)/4 = 0.63. Weighted Average 从计算的角度讲,先对每个类求值,再取平均得到Macro Average会比较容易.但是当数据集中存在严重类别不平衡的问题时,就不适宜单纯使用Macro Average.此时可以采取weighted av...
This study compares various F1-score variants鈥攎icro, macro, and weighted鈥攖o assess their performance in evaluating text-based emotion classification. Lexicon distillation is employed using the multilabel emotion-annotated datasets XED and GoEmotions. The aim of this paper is to understand when ...
Throughput enhancement of macro and femto networks by frequency reuse and pilot sensing. In Proceedings of the IEEE International Performance, Computing and Communications Conference (IPCCC), Austin, TX, USA, 7–9 December 2008; pp. 390–394. 17. Risi, C.; Wassie, D.A. Inter-cell ...
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