© Alok Kumar and Mayank Jain 2020
A. Kumar, M. JainEnsemble Learning for AI Developershttps://doi.org/10.1007/978-1-4842-5940-5_6

6. Tips and Best Practices

Alok Kumar1  and Mayank Jain1
Gurugram, India

In order to fully extract the power of ensembling, you need to learn the art of effectively applying it to real-world situations.

If you have heard of the 80/20 rule for data wrangling in machine learning, then you know that a vast amount of time is spent beyond searching and optimizing models. By the end of this chapter, you will have a good collection of reusable solutions to integrate ensembles into your real-world ML workflows.

The following are your learning goals for this chapter.
  • Feature selection using a random forest model. It should not ...

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