线性回归系数
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
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