逻辑回归会生成一个概率(介于 0 和 1 之间,不包含 0 和 1),而不是精确预测 0 或 1。例如,考虑用于检测垃圾内容的逻辑回归模型。如果模型针对特定电子邮件推断出值为 0.932,则表示电子邮件是垃圾邮件的概率为 93.2%。更确切地说,这意味着在无限训练样本的极限情况下,模型预测其值为 0.932 的这组样本实际上有 93.2% 是垃圾邮件,其余 6.8% 不是垃圾邮件。
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Last updated 2022-09-27 UTC.
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