Title:
METHOD AND SYSTEM FOR CONDITIONING DATA SETS FOR EFFICIENT COMPUTATIONAL PROCESSING
Document Type and Number:
WIPO Patent Application WO/2021/207797
Kind Code:
A8
Abstract:
Embodiments generally relate to a method for selecting hybrid variables. The method comprises sampling at least one interaction effect structure of at least one multivariable dataset, sampling at least one hybrid variable for each sampled interaction effect structure, calculating a lift value for each sampled hybrid variable, and comparing the lift value to a threshold lift criteria, labelling each sampled hybrid variable based on determining that the lift value of the sample hybrid variable exceeds the threshold lift criteria, training a machine learning model to predict the likelihood of a hybrid variable having a lift which exceeds the threshold lift criteria, applying the trained machine learning model to each hybrid variable within each sampled interaction effect structure to determine a value corresponding to the likelihood of each hybrid variable having a lift which exceeds the threshold lift criteria, and retaining only hybrid variables with a likelihood value that exceeds a decision criteria. The training of the machine learning model is performed using the labelled sampled hybrid variables.
Inventors:
DU PREEZ WARREN (AU)
Application Number:
PCT/AU2021/050342
Publication Date:
September 01, 2022
Filing Date:
April 16, 2021
Export Citation:
Assignee:
AUSTRALIA AND NEW ZEALAND BANKING GROUP LTD (AU)
International Classes:
G06N20/00; G01W1/00; G06F16/906; G06F17/18; G06Q10/04
Attorney, Agent or Firm:
FB RICE (AU)
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