© Karthik Ramasubramanian and Abhishek Singh 2019
Karthik Ramasubramanian and Abhishek SinghMachine Learning Using Rhttps://doi.org/10.1007/978-1-4842-4215-5_5

5. Feature Engineering

Karthik Ramasubramanian1  and Abhishek Singh1
New Delhi, Delhi, India

In machine learning, feature engineering is a blanket term covering both statistical and business judgment aspects of modeling real-world problems. Feature engineering is a term coined to give due importance to the domain knowledge required to select sets of features for machine learning algorithms. It is one of the reasons that most of the machine learning professionals call it an informal process.

In order to quantify meaningful relationships between the response variable and predictor variables, ...

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