Patent ID: 11868230
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 16:
17. A computer system comprising:
one or more computer processors; and
one or more computer readable storage media;
wherein:
the one or more computer processors are structured, located, connected and/or programmed to execute program instructions collectively stored on the one or more computer readable storage media; and
the program instructions, when executed by the one or more computer processors, cause the one or more computer processors to perform a method comprising:
assessing a performance of a plurality of unsupervised machine learning pipelines against a plurality of data sets;
associating the performance with meta-features corresponding to respective pipeline/data set combinations;
training a supervised meta-learning model using the associated performance and meta-features as training data; and
utilizing the trained model to identify one or more pipelines for processing an input data set.