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Hands-On Machine Learning with Azure
book

Hands-On Machine Learning with Azure

by Thomas K Abraham, Parashar Shah, Jen Stirrup, Lauri Lehman, Anindita Basak, Ryan Murphy
October 2018
Intermediate to advanced content levelIntermediate to advanced
340 pages
7h 56m
English
Packt Publishing
Content preview from Hands-On Machine Learning with Azure

Feature selection

A common problem when developing ML models is deciding which features should be used when training a model. For a supervised learning algorithm, the best features are those that are highly correlated with the label variable. This means, broadly speaking, that changing one of the variables induces a change in the other variable as well. An example of highly correlated variables could be the time of day and the amount of road traffic: traffic jams usually occur during the rush hour, while the amount of traffic during the night is particularly low.

The general aim of feature selection is to discover the variables that have the largest impact on the target variable. If the input dataset contains a large amount of columns, it ...

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Publisher Resources

ISBN: 9781789131956Supplemental Content