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Hands-On Automated Machine Learning
book

Hands-On Automated Machine Learning

by Sibanjan Das, Umit Mert Cakmak
April 2018
Beginner to intermediate content levelBeginner to intermediate
282 pages
6h 52m
English
Packt Publishing
Content preview from Hands-On Automated Machine Learning

Feature selection

 An ML model uses some critical features to learn patterns in data. All other features add noise to the model, which may lead to a drop in the model's accuracy and overfit the model to the data as well. So, selecting the right features is essential. Also, working a reduced set of important features reduces the model training time. 

The following are some of the ways to select the right features prior creating a model:

  • We can identify the correlated variables and remove any one of the highly-correlated values
  • Remove the features with low variance
  • Measure information gain for the available set of features and choose the top N features accordingly

Also, after creating a baseline model, we can use some of the below methods ...

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Publisher Resources

ISBN: 9781788629898Supplemental Content