May 2019
Intermediate to advanced
306 pages
8h 20m
English
Content preview from Mastering Machine Learning on AWS
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Gini Impurity
Gini Impurity is defined as the measurement of the likelihood of the incorrect classification of a random observation, given that the random observation is classified based on the distribution of the class variables in the dataset. Consider a dataset with 
class variables, and 
is the fraction of observations in the dataset labeled as 
. Gini Impurity can be calculated using the following formula:
.. 4.1
Gini Impurity tells us the ...
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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.