Salesforce, Inc.

James Reber Lewis

Vitaly Gordon

Shubha Umesh Nabar

Kin Fai Kan

Till Christian Bergmann

Sara Beth Asher

John Emery Ball

Nihar Dandekar

Chalenge Masekera

A system may automatically generate a predictive machine learning model by automatically performing various processes based on an analysis of the data as well as metadata associated with the data. The system may accept a selection of data and a prediction field from the data. The system may automatically generate a set of features based on the data and may automatically remove certain features that cause inaccuracies in the model. The system may balance the data based on a representation rate of certain outcomes. The system may train and select a model based on several candidate models. The system may then perform the predictions based on the selected model and send an indication of the predictions to a user.

Automatic machine learning model generation

Growing community of inventors

San Francisco, CA, United States of America

James Reber Lewis