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模型评估与选择 | 少年歌行 #4

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lyb92nlf opened this issue Nov 14, 2021 · 0 comments
Open

模型评估与选择 | 少年歌行 #4

lyb92nlf opened this issue Nov 14, 2021 · 0 comments

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@lyb92nlf
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https://lyb92nlf.github.io/2021/11/14/Chapter02%E6%A8%A1%E5%9E%8B%E9%80%89%E6%8B%A9%E5%92%8C%E8%AF%84%E4%BC%B0/

基本概念 错误率error rate:错误样本数占测试样本数的比例 精度accuracy:1 - 错误率 误差error:学习器的实际预测输出与样本的真实输出之间的差异 训练误差training error/经验误差empirical error:学习器在训练集上的误差 泛化误差generalization error:在新样本上的误差 想得到的就是泛化误差较小的模型。在实际希望中,需要的

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