International Business Machines Corporation
Dynamic Machine Learning Model Selection

Abstract:

A machine learning model selector is provided. A set of machine learning (ML) models are trained based on a first training dataset. The set of trained ML model is executed on a second training dataset to generate a corresponding output for a set of data instances in the second training dataset. For each data instance in the set of data instances, a corresponding ranking of ML models is generated based on the corresponding output for the data instance generated by the set of ML models. A ML model selector is trained based on the data instances in the set of data instances and the corresponding ranking of ML models, to select a trained ML model based on an input data instance.