公开(公告)号：US20190138946A1

公开(公告)日：2019-05-09

申请号：US15884878

申请日：2018-01-31

Applicant: salesforce.com, inc.

Inventor： Sara Beth Asher ,  John Emery Ball ,  Vitaly Gordon ,  Till Christian Bergmann ,  Kin Fai Kan ,  Chalenge Masekera ,  Shubha Nabar ,  Nihar Dandekar ,  James Reber Lewis

IPC: G06N99/00 ,  G06N5/04 ,  G06N5/02

Abstract: 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.