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Chinese Spam Detect
這是一個使用AutoTrain訓練的二元分類模型，專門用於區分垃圾郵件和非垃圾郵件。
Downloads 13
Release Time : 12/11/2022
Model Overview
該模型基於文本分類技術，能夠準確識別垃圾郵件內容，適用於郵件過濾系統。
Model Features
高準確率
驗證準確率達到99.2%，能夠可靠地區分垃圾郵件
全面性能指標
在精確率(99.3%)、召回率(99.0%)和F1分數(0.991)上都表現優異
低資源消耗
訓練過程二氧化碳排放量僅為0.8148克，環保高效
Model Capabilities
文本分類
垃圾郵件檢測
二元決策
Use Cases
電子郵件管理
垃圾郵件過濾
自動識別並過濾垃圾郵件
準確率99.2%，誤判率低
內容審核
不良內容識別
識別包含垃圾信息的文本內容
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