inst/helpers/feature_engineering.md

In fairanalytics/SaldaeML: SmartML

Machine Learning : Features engineering

Defintion :

Feature engineering is the process of using domain knowledge to extract features (characteristics, properties, attributes) from raw data.[1] The motivation is to use these extra features to improve the quality of results from a machine learning process, compared with supplying only the raw data to the machine learning process.Wikepedia

Extracted features :

Numerical variables

• Power of two

• Square Root

• Log

Date and time

• year

• month

• quarter

• week

• day

• hour

• Quarter hour

• Minute

• Second

fairanalytics/SaldaeML documentation built on Jan. 17, 2022, 12:05 p.m.