October 2018
Intermediate to advanced
172 pages
4h 6m
English
Content preview from Machine Learning with scikit-learn Quick Start Guide
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Picking the best feature
How does the decision tree decide which feature is the best? The best feature is one that offers the best possible split, and divides the tree into two or more distinct groups, depending on the number of classes or categories that we have in the data. Let's have a look at the following diagram:
A decision tree showing a good split
In the preceding diagram, the following happens:
- The tree splits the data from the root node into two distinct groups.
- In the left-hand group, we see that there are two triangles and one circle.
- In the right-hand group, we see that there are two circles and one triangle.
- Since the tree got ...
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