Apparatuses, computer-implemented methods, and computer program products for improved model-based determinations

An apparatus comprising at least one processor and at least one memory having computer-coded instructions stored thereon that, in execution with the at least one processor, configures the apparatus to:

• receive an original data set corresponding to a plurality of predictor parameters;
• generate, based at least in part on the original data set, a plurality of model-based decision trees, each model-based decision tree comprising one or more branches, wherein each branch of the one or more branches is associated with a data model configured based at least in part on a partitioned subset of the original data set determined based on at least one instability parameter corresponding to each decision point in the model branch;
• apply a plurality of percentage differential data values to each decision tree of the plurality of predictor parameters to generate a set of model output data;
• aggregate the set of model output data to generate preferred output data associated with the plurality of percentage differential data values and the set of model output data;
• and
• output a representation of the preferred output data to a computing device.

A computer-implemented method comprising:

• receiving an original data set corresponding to a plurality of predictor parameters;
• generating, based at least in part on the original data set, a plurality of model-based decision trees, each model-based decision tree comprising one or more branches, wherein each branch of the one or more branches is associated with a data model configured based at least in part on a partitioned subset of the original data set determined based on at least one instability parameter corresponding to each decision point in the model branch;
• applying a plurality of percentage differential data values to each decision tree of the plurality of predictor parameters to generate a set of model output data;
• aggregating the set of model output data to generate preferred output data associated with the plurality of percentage differential data values and the set of model output data;
• and
• outputting a representation of the preferred output data to a computing device.

A computer program product comprising a non-transitory computer readable medium having computer program instructions stored therein that, in execution with at least one processor, are configured for:

• receiving an original data set corresponding to a plurality of predictor parameters;
• generating, based at least in part on the original data set, a plurality of model-based decision trees, each model-based decision tree comprising one or more branches, wherein each branch of the one or more branches is associated with a data model configured based at least in part on a partitioned subset of the original data set determined based on at least one instability parameter corresponding to each decision point in the model branch;
• applying a plurality of percentage differential data values to each decision tree of the plurality of predictor parameters to generate a set of model output data;
• aggregating the set of model output data to generate preferred output data associated with the plurality of percentage differential data values and the set of model output data;
• and
• outputting a representation of the preferred output data to a computing device.