Hands-On Machine Learning with C++

R squared

The R squared metric is also known as a coefficient of determination. It is used to measure how good our independent variables (features from the training set) describe the problem and explain the variability of dependent variables (prediction values). The higher values tell us that the model explains our data well enough, while lower values tell us that the model makes many errors. This is given by the following equations:

Here, ...