July 2017
Beginner to intermediate
486 pages
13h 49m
English
Content preview from Python Natural Language Processing
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Overfitting
In this section, we will look at the term overfitting. I put this term in front of you when I was explaining variance in the last section. So, it's time to explain overfitting and, in order to explain it, I want to take an example.
Suppose we have a dataset and we plot all the data points on a two dimensional plane. Now we are trying to classify the data and our ML algorithm draws a decision boundary in order to classify the data. You can see Figure 8.62:
Figure 8:62 Overfitting and variance
(Image credit: http://www.learnopencv.com/wp-content/uploads/2017/02/bias-variance-tradeoff-test-error.png)
If you look at the left-hand side ...
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