Data Scientist

Feature Construction

Feature construction (also known as constructive induction or attribute discovery) is a form of data enrichment that adds derived features to data. Our pioneering research demonstrated that feature construction can allow machine learning systems to construct more accurate models across a wide range of learning tasks.