陳柔漪 || Performance Evaluation in Multi-Class Classification || 2024/02/27 || ver 2 ||

此影片介紹了如何將二元分類的評估指標應用於多元分類中，搭配 Colab 程式碼與範例說明，解析並展示計算過程。
This video introduces how to apply the evaluation metrics from binary classification to multi-class classification. We also present a code example on Colab, which shows the calculation process, to help you realize more clearly.

建議閱讀:
MeDA School Classification
➡️ https://www.medaschool.ai/%E9%86%AB%E5%AD%B8%E5%BD%B1%E5%83%8F-ai/classification

MeDA School Performance Evaluations
➡️ https://www.medaschool.ai/%E9%86%AB%E5%AD%B8%E5%BD%B1%E5%83%8F-ai/%E6%95%88%E8%83%BD%E8%A9%95%E4%BC%B0

AI 模型效能評估（二）：分類模型指標
➡️ https://www.youtube.com/watch?v=ZCDZjKfMFvM