线性回归系数_线性回归系数可能对您不利

Interpreting linear regression coefficients is common to do, because it’s so easy. Training a model can be done in a few lines of code, and the results yield statistics that can be stated matter-of-factly: “each additional point on the SAT increases your chances of admission by 0.002%”.

解释线性回归系数很常见，因为它很容易。 训练模型可以用几行代码完成，结果产生的统计数据可以说是事实：“ SAT上每增加一个点，您的入学机会就会增加0.002％”。

Whenever you train a linear regression (or logistic regression) model with this intent, be wary: you are treading in dangerous waters.

每当您以此意图训练线性回归(或逻辑回归)模型时，请当心：您正在危险的环境中涉猎。

What is linear regression even doing? It multiplies each of the inputs by a value and adds them up — as an additional degree of freedom, an ‘intercept’ can be added. The result should be the y-variable.

线性回归甚至在做什么？ 它将