EPISODE · Sep 2, 2026 · 31 MIN
什麼是混淆矩陣?
from IPAS AI 應用規劃師_考題解析 · host 三隻蝦蝦
混淆矩陣，並詳細解析了其衍生的各項關鍵指標。文中指出，單純依賴準確率容易在資料不平衡的情境下產生誤導，因此必須輔以精確率、召回率（亦稱靈敏度）及 F1 分數來全面衡量模型。透過垃圾郵件過濾、醫療診斷與詐騙偵測等實例，來源說明了在不同應用情境下，開發者需在精準性與完整性之間進行權衡。此外，文本也介紹了 ROC 曲線、AUC 以及針對失衡數據更具參考價值的 PR 曲線。最後，來源提醒開發者應關注數據偏見與模型公平性，確保 AI 決策不僅準確，更具備倫理與正義。
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什麼是混淆矩陣?
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