680548421 by 2023 A Beginners Guide

Author:2023 A Beginners Guide
Language: eng
Format: epub

Feature

Listing 8.5: Example of PCA feature extraction.

You can see that the transformed dataset (3 principal components) bare little resemblance to the source data.

Listing 8.6: Output of PCA feature extraction.

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8.5 Feature Importance

Bagged decision trees like Random Forest and Extra Trees can be used to estimate the importance of features. In the example below we construct a ExtraTreesClassifier classifier for the Pima Indians onset of diabetes dataset. You can learn more about the ExtraTreesClassifier in the scikit-learn API.

Listing 8.7: Example of feature importance.

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