| CPC G06N 5/04 (2013.01) [G06N 20/00 (2019.01)] | 20 Claims |
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1. A computing system comprising:
a processor configured to:
receive an identification of a measure of multidimensional data;
extract metadata from the multidimensional data, the extracted metadata identifying a dimension of the measure and a plurality of different granularities applicable to the dimension;
generate, based on the extracted metadata, a plurality of multidimensional queries that comprise a plurality of different granularities of aggregation for the measure identified in the extracted metadata;
query the multidimensional data via the plurality of multidimensional queries to generate a plurality of training data sets;
train a plurality of different instances of a machine learning model via execution of a machine learning algorithm on the plurality of training data sets corresponding to the plurality of different granularities of aggregation, respectively;
determine predictive accuracy values of the plurality of different instances of the machine learning model corresponding to the plurality of different granularities of aggregation;
generate a ranked ordering of the plurality of different instances of the machine learning model based on the predictive accuracy values; and
display, in accordance with the ranked ordering, the predictive accuracy values via a user interface.
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