如何使用 scikit-learn 计算调整后的 R 平方分数? [英] How do I calculate the Adjusted R-squared score using scikit-learn?

问题描述

我已经在使用

其中 n 是样本中的观察数，p 是模型中的自变量数

I'm already using the r2_score function but don't understand how I can get the "adjusted" R^2 score from this. The description at this page doesn't mention it - maybe it's the adjusted score by default?

解决方案

Adjusted R2 requires number of independent variables as well. That's why it will not be calculated using such an independent metrics function (as we are not providing, how ypred was calculated).

However you can calculate the adjusted R2 from R2 with a simple formula given here

where n is number of observations in sample and p is number of independent variables in model

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