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Merge pull request #343 from CoderOverflow/patch-2 

2.16.13 如何计算TPR，FPR 内容修订
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scutan90 2019-04-13 14:03:38 +08:00 committed by GitHub
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ch02_机器学习基础/第二章_机器学习基础.md
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@ -1172,8 +1172,8 @@ y_true = [0, 0, 1, 1]；scores = [0.1, 0.4, 0.35, 0.8]；
| 样本 | 预测属于P的概率(score) | 真实类别 | | 样本 | 预测属于P的概率(score) | 真实类别 |
| ---- | ---------------------- | -------- | | ---- | ---------------------- | -------- |
| y[0] | 0.1 | N | | y[0] | 0.1 | N |
| y[1] | 0.35 | P | | y[1] | 0.4 | N |
| y[2] | 0.4 | N | | y[2] | 0.35 | P |
| y[3] | 0.8 | P | | y[3] | 0.8 | P |
3、将截断点依次取为score值，计算TPR和FPR。 3、将截断点依次取为score值，计算TPR和FPR。