How it works...

If you recall our customer churn dataset, there are 14 features:

After performing step 1, you have 11 valid features remaining. The following marked features have zero significance on the prediction outcome. For example, the customer name doesn't influence whether a customer would leave the organization or not.

In the above screenshot, we have marked the features that are not required for the training. These features can be removed from the dataset as it doesn't have any impact on outcome.

In step 1, we tagged the noise feature ...

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