While the curve does not fit the data exactly, we can say that the data is a reasonable fit — however, we can see that a number of outliers are still present in the dataset.
当曲线不能精确地匹配数据时,我们可以说数据是有限匹配的 - 但是,我们可以看到有一系列的异常值仍然在数据集之内。
First, beware the managerial tendency to "over-fit the curve" — a statistical term that refers to the diminishing value of gathering additional data once you find a pattern.
首先,警惕管理层的“过拟合”倾向——统计学词汇“过拟合”指的是一旦模式已经发现,搜集更多数据的价值趋于下降。
When the dataset was fitted against a three parameter lognormal distribution curve, the data was a reasonable fit.
当数据集根据三参数分布曲线得到填充时,数据就是有限匹配的。
And we can just extrapolate in a straight line We before saw some examples where I had an algorithm to generate points, and we fit a curve to it, used the curve to predict future points and discovered it was nowhere close.
我们可以干脆用一条直线来描述它,我们之前看到在一些例子中,我用一个算法去生成一些点,然后用一条曲线对它进行拟合,然后用这条曲线来预测未来的点,最后却发现结果完全不对。
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