US 11,922,329 B2
Systems for second-order predictive data analytics, and related methods and apparatus
Jeremy Achin, Boston, MA (US); Thomas DeGodoy, Medford, MA (US); Timothy Owen, Newton, MA (US); Xavier Conort, Singapore (SG); Sergey Yurgenson, Malborough, MA (US); Mark L. Steadman, Watertown, MA (US); Glen Koundry, Waltham, MA (US); and Hon Nian Chua, Singapore (SG)
Assigned to DataRobot, Inc., Boston, MA (US)
Filed by DataRobot, Inc., Boston, MA (US)
Filed on Dec. 20, 2019, as Appl. No. 16/722,831.
Application 16/722,831 is a continuation of application No. 15/790,756, filed on Oct. 23, 2017, granted, now 10,558,924.
Application 15/790,756 is a continuation in part of application No. 15/331,797, filed on Oct. 21, 2016, granted, now 10,366,346, issued on Jul. 30, 2019.
Application 15/331,797 is a continuation in part of application No. 15/217,626, filed on Jul. 22, 2016, granted, now 9,652,714, issued on May 16, 2017.
Application 15/217,626 is a continuation of application No. 14/720,079, filed on May 22, 2015, granted, now 9,489,630, issued on Nov. 8, 2016.
Claims priority of provisional application 62/411,526, filed on Oct. 21, 2016.
Claims priority of provisional application 62/002,469, filed on May 23, 2014.
Prior Publication US 2020/0134489 A1, Apr. 30, 2020
This patent is subject to a terminal disclaimer.
Int. Cl. G06N 5/04 (2023.01); G06F 9/50 (2006.01); G06N 5/02 (2023.01); G06N 20/00 (2019.01); G06Q 10/04 (2023.01); G06Q 10/06 (2023.01)
CPC G06N 5/04 (2013.01) [G06F 9/5011 (2013.01); G06N 5/02 (2013.01); G06N 20/00 (2019.01); G06Q 10/04 (2013.01); G06Q 10/06 (2013.01)] 28 Claims
OG exemplary drawing
 
1. A predictive modeling method comprising:
obtaining a fitted, first-order predictive model, wherein the first-order predictive model is configured to predict values of one or more output variables of a prediction problem based on values of one or more first input variables; and
performing a second-order predictive modeling procedure on the fitted, first-order model, wherein the second-order modeling procedure is associated with a second-order predictive model, and wherein performing the second-order predictive modeling procedure on the fitted, first-order model includes:
generating second-order input data including a plurality of second-order observations, wherein each second-order observation includes respective observed values of one or more second input variables and predicted values of the output variables, and wherein generating the second-order input data comprises, for each second-order observation: obtaining the respective observed values of the second input variables and corresponding observed values of the first input variables, and applying the first-order predictive model to the corresponding observed values of the first input variables to generate the respective predicted values of the output variables,
generating, from the second-order input data, second-order training data and second-order testing data,
generating a fitted second-order predictive model of the fitted first-order model by fitting the second-order predictive model to the second-order training data, and
testing the fitted, second-order predictive model of the fitted first-order model on the second-order testing data.