Patent ID: 11941541
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 19:
20. The computer system of claim 15, wherein the stored program instructions further include program instructions programmed to perform an iterative series of pipeline accuracy determinations, for a defined number of iterations, in response to the determining of the pipeline accuracy for each of the potential machine-learning pipelines when executed against the testing data set and prior to providing the recommended machine-learning pipeline, the performing of the iterative series of pipeline accuracy determinations comprising:
computing a similarity between the stored results from executing each of the potential machine-learning pipelines and each of the plurality of training data sets represented in the performance matrix;
selecting a defined number of columns of the performance matrix based on the similarity between the stored results and each of the plurality of training data sets;
determining an average rank for each machine-learning pipeline based on the selected columns of the performance matrix;
selecting a defined number of top-ranked machine-learning pipelines that are unexecuted as potential machine-learning pipelines;
storing iteration result sets from executing each of the potential machine-learning pipelines;
determining the pipeline accuracy for each of the potential machine-learning pipelines when executed against the stored iteration result sets; and
determining a new recommended machine-learning pipeline based on the pipeline accuracy for each potential machine-learning pipeline.