Seacoast Banking Corporation of Florida
PREDICTIVE DATA ANALYSIS USING VALUE-BASED PREDICTIVE INPUTS
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Abstract:
There is a need for solutions that perform predictive data analysis using a value-based predictive input. This need can be addressed by, for example, determining, based at least in part on the value-based predictive input, a plurality of predictive component values; for each predictive component value of the plurality of predictive component values: obtaining a quantile regression distribution for the predictive component value; determining, based at least in part on the quantile regression distribution, a non-outlier portion of the quantile regression distribution; generating, for each quantile regression value of the one or more quantile regression values that is associated with the non-outlier portion, a scaled quantile regression value; and determining, based at least in part on each scaled quantile regression value for a quantile regression value associated with a predictive component value of the plurality of predictive component values, an entity opportunity prediction of the one or more entity predictions for the prediction entity.
Utility
17 Apr 2019
24 Oct 2019