基于机器学习的心脏病预测方法（6）——朴素贝叶斯（Naive Bayes）

wendy_ya 发布时间：2021-09-11 18:56:46 ，浏览量：1

- 一、朴素贝叶斯
- - 1.1 朴素贝叶斯介绍
  - 1.2 高斯朴素贝叶斯
- 二、核心代码
- 三、评价指标
- - 3.1 混淆矩阵
  - 3.2 预测分数
  - 3.3 召回率
  - 3.4 F分数
  - 3.5 FN（false negative）
  - 3.6 ROC曲线
  - 3.7 AUC指标

一、朴素贝叶斯 1.1 朴素贝叶斯介绍

贝叶斯定理表述为： P ( h ∣

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基于机器学习的心脏病预测方法（6）——朴素贝叶斯（Naive Bayes）

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