System and method for a personalized machine learning pipeline selection and result interpretation

A system, comprising:

• a processor;
• and
• memory comprising instructions which, when executed by the processor, perform a method, the method comprising:
• obtaining a request for a machine learning (ML) pipeline selection from a client, wherein the request comprises a training dataset and a domain of the training dataset;
• and
• in response to the request:
• identifying a set of ML pipelines based on the domain;
• obtaining runtime statistics for the set of ML pipelines using the domain and the training dataset;
• inputting the runtime statistics and user preferences associated with the client into a user preference model to obtain an ordering of the set of ML pipelines;
• and
• presenting the ordering, the runtime statistics, and a notification based on the ordering to the client.

A non-transitory computer readable medium comprising computer readable program code, which when executed by a computer processor enables the computer processor to perform a method for managing data, the method comprising:

• obtaining a request for a machine learning (ML) pipeline selection from a client, wherein the request comprises a training dataset and a domain of the training dataset;
• and
• in response to the request:
• identifying a set of ML pipelines based on the domain;
• obtaining runtime statistics for the set of ML pipelines using the domain and the training dataset;
• inputting the runtime statistics and user preferences associated with the client into a user preference model to obtain an ordering of the set of ML pipelines;
• and
• presenting the ordering, the runtime statistics, and a notification based on the ordering to the client.