Knowledge aided feature engineering
AssigneeInternational Business Machines Corporation
InventorsUdayan Khurana, Sainyam Galhotra, Oktie Hassanzadeh, Kavitha Srinivas, Horst Cornelius Samulowitz
Life of this patent
Estimating the term…
Loading patent…
AssigneeInternational Business Machines Corporation
InventorsUdayan Khurana, Sainyam Galhotra, Oktie Hassanzadeh, Kavitha Srinivas, Horst Cornelius Samulowitz
Estimating the term…
Embodiments relate to a system, program product, and method for employing feature engineering to improve classifier performance. A first machine learning (ML) model with a first learning program is selected. The first selected ML model is operatively associated with a first structured dataset. First features in the first dataset directed at performance of the selected ML model are identified. A second structured dataset is assessed with respect to the identified features in the first dataset, and new features in the second dataset are identified, where the new features are semantically related to the identified features in the first dataset. The first dataset is dynamically augmented with the identified new features in the second dataset. The dynamically augmented first dataset is applied to the selected ML model to subject an embedded learning algorithm of the selected ML model to training using the augmented first dataset.
A computer system comprising:
A computer program product to employ feature engineering training to improve classifier performance, the computer program product comprising:
A feature engineering training method for improving classifier performance, comprising:
Dependencies are inferred from the claim text.