Patent ID: 11934971
Assignee: DIGITAL LION, LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 9:
10. A system for automatically building a machine learning model, the system comprising:
processor; and
memory, wherein the memory stores instructions that, when executed by the processor, cause the processor to:
cause display, via a graphical user interface, of a plurality of variables;
receive selection of a target variable from the plurality of variables;
identify a first independent variable from the plurality of variables;
identify a parameter associated with the machine learning model;
receive, via the graphical user interface, collected data;
build a first machine learning model using as inputs, the parameter and the collected data associated with the first independent variable and the target variable;
make a change to at least a portion of the inputs used to build the first machine learning model;
build a second machine learning model based on the change;
compare a prediction accuracy of the first machine learning model to the second machine learning model;
select one of the first machine learning model or the second machine learning model based on the prediction accuracy; and
output a prediction based on the instructions that cause the process to select the one of the first machine learning model or the second machine learning model.