Interpretable Models - Decision Rules
可以說是最簡單的model了，IF-THEN的結構 一、The usefulness of a decision rule is usually summarized in two numbers: Support and accuracy。 Support（coverage of a rule）：走進該rule的實例佔比，The percentage of instances to which
相關文章
- 1. Interpretable Models - Logistic Regression&GLM&GAM
- 2. Applying decision trees
- 3. Decision Table
- 4. sklearn 的 Decision Trees
- 5. zz[讀書筆記]《Interpretable Machine Learning》
- 6. Interpretable Machine Learning線性迴歸
- 7. #Paper Reading# TabNet: Attentive Interpretable Tabular Learning
- 8. Reading Note: Interpretable Convolutional Neural Networks
- 9. YII開發技巧分享——模型（models）中rules自定義驗證規則
- 10. Parallel Gradient Boosting Decision Trees
- 更多相關文章...
- • ASP.NET MVC - 模型 - ASP.NET 教程
- • ASP.NET MVC - 應用程序文件夾 - ASP.NET 教程
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. Interpretable Models - Logistic Regression&GLM&GAM
- 2. Applying decision trees
- 3. Decision Table
- 4. sklearn 的 Decision Trees
- 5. zz[讀書筆記]《Interpretable Machine Learning》
- 6. Interpretable Machine Learning線性迴歸
- 7. #Paper Reading# TabNet: Attentive Interpretable Tabular Learning
- 8. Reading Note: Interpretable Convolutional Neural Networks
- 9. YII開發技巧分享——模型（models）中rules自定義驗證規則
- 10. Parallel Gradient Boosting Decision Trees