Visualization of confusion matrices with network graphs
Visualization of confusion matrices with network graphs
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DOI：
10.1002/cem.3435
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发表时间：
2022-07
影响因子：
2.4
通讯作者：
W. Gilbraith;Caelin P. Celani;K. Booksh
中科院分区：
文献类型：
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作者：
W. Gilbraith;Caelin P. Celani;K. Booksh
使用网络分析作为可视化混淆矩阵的非对角（错误分类）元素的一种手段，并提出了使用网络图作为开发分层分类模型的指南的潜力。一个非常简短的总结图论的描述。接下来是解释和代码，其中包含如何使用这些网络来可视化混淆矩阵的示例。使用网络图，以提供不同的模型性能的洞察也得到了解决。
The use of network analysis as a means of visualizing the off‐diagonal (misclassified) elements of a confusion matrix is demonstrated, and the potential to use the network graphs as a guide for developing hierarchical classification models is presented. A very brief summary of graph theory is described. This is followed by an explanation and code with examples of how these networks can then be used for visualization of confusion matrices. The use of network graphs to provide insight into differing model performance is also addressed.