Glossary

Feature Engineering (in Machine Learning)

Feature engineering is the technique of transforming raw data into structured, relevant variables that better inform machine learning models. It involves selecting the most informative attributes, creating new variables from existing data, and modifying or removing data points to enhance model accuracy and efficiency. This step is critical in the development of predictive models, as it directly impacts their ability to learn from the data and make accurate predictions.