May 2020
Intermediate to advanced
530 pages
17h 8m
English
Content preview from Hands-On Machine Learning with C++
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Adjusted R squared
The adjusted R squared metric was designed to solve the previously described problem of the R squared metric. It is the same as the R squared metric but with a penalty for a large number of independent variables. The main idea is that if new independent variables improve the model's quality, the values of this metric increase; otherwise, they decrease. This can be given by the following equation:
Here, k is the number of parameters and n is the number of samples.
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.