Patent ID: 11948094
Assignee: ADOBE INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. In a digital medium environment, a computer-implemented method of selecting attributes for generating digital predictive models, comprising:
determining an initial set of attributes corresponding to a repository of data samples, the initial set of attributes having an initial number of attributes;
utilizing the initial set of attributes to identify a coarse sample set having a coarse number of data samples from the repository of data samples;
selecting a focused subset of the initial set of attributes based on the coarse sample set, wherein the focused subset of the initial set of attributes has a focused number of attributes less than the initial number of attributes;
utilizing the focused subset of the initial set of attributes to identify a refined sample set from the repository of data samples having a refined number of data samples larger than the coarse number of data samples; and
selecting a final subset of attributes from the focused subset of the initial set of attributes, wherein the final subset of attributes have a final number of attributes less than the focused number of attributes;
utilizing the final subset of attributes to generate a final sample set having a final number of data samples larger than the refined number of data samples; and
generating a digital predictive model for predicting a target attribute based on the final sample set comprising the final subset of attributes.