我的数据挖掘错误有多好
我正在尝试计算我在机器学习方面的测量有多好！ 假设我有五个选择，错误是 4,2, 0.002, 3, 6。自然地，我会选择第三个作为命中，但我想说以下内容：
- 我 X% 确定命中是第三顺位
我确信命中是第一个（最后一个）选择
当然，X>>Y，但我想知道是否有某种统计指标。
我总是可以介绍我的指标，但我感兴趣的是是否有一些已知的指标，这样我就可以避免我的解释而只参考特定的指标???
最接近的是“置信区间”，但这给了我结果处于某个区间的概率。
谢谢！
I'm trying to calculate how good are my measurements in machine learning!
Let's say that I have five choices, and that error is 4,2, 0.002, 3, 6. Naturally, I will pick third one for the hit, but I would like to say following:
- I'm X% certain that hit is third pick
I'm Y% certain that hit is first (last) pick
Of course, X>>Y but I would like to know is there some kind of statistics metric for this.
I can always introduce my metric, but I'm interested is there some already known, so that I can avoid my explanation and just refer to particular metric???
The closest one is 'confidence interval', but that gives me the probability that my results are in some interval.
Thanks!
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我认为这取决于你的机器学习算法和你的错误度量。
也许您应该询问
统计分析- Stack Exchange？I think it depends on your machine learning algorithm, and your error measure.
Maybe you should ask on
Statistical Analysis- Stack Exchange?