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Interactive interfaces for machine learning model evaluations

  • US 10,452,992 B2
  • Filed: 11/11/2014
  • Issued: 10/22/2019
  • Est. Priority Date: 06/30/2014
  • Status: Active Grant
First Claim
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1. A system, comprising:

  • one or more computing devices configured to;

    train a machine learning model to generate values of one or more output variables corresponding to respective observation records at a machine learning service of a provider network, wherein the one or more output variables include a particular output variable;

    subsequent to the training;

    generate an interactive graphical interface that displays a first set of data produced by one or more evaluation runs of the machine learning model performed using respective evaluation data sets, wherein the first set of data comprises at least (a) a statistical distribution of the particular output variable, and (b) a first prediction quality metric of the machine learning model;

    receive input from a client via a first graphical control of the interactive graphical interface to modify a first prediction interpretation threshold, wherein the first prediction interpretation threshold specifies how the particular output variable is interpreted, wherein the modification is performed without modifying the machine learning model;

    determine, based at least in part on the input from the client via the first graphical control, a target value of the first prediction interpretation threshold;

    initiate a display, via the interactive graphical interface, of a change to the first prediction quality metric resulting from a selection of the target value;

    in response to a request transmitted by the client via the interactive graphical interface, save the target value in a persistent repository of the machine learning service; and

    utilize the saved target value to interpret the particular output variable and generate one or more prediction results of a subsequent run of the machine learning model.

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