Computing dimensional influence and health scores in non-linear statistical models

A non-transitory machine-readable medium for determining the influence of attributes on a predicted outcome for an entity, wherein the predicted outcome was selected from a plurality of possible outcomes based on probabilities generated by application of a non-linear statistical model on a plurality of input attributes, wherein there is an attribute value for each of the plurality of attributes that describes a behavior or a characteristic of the entity to which the predicted outcome applied, wherein the non-transitory machine-readable medium stores instructions that when executed by a processor of an electronic device, cause the electronic device to:

• compute for each dimension in a plurality of dimensions, a first score based on multiple applications of the non-linear statistical model on different combinations of other pieces of data with the attribute values for the customer in that dimension, wherein each attribute in the plurality of attributes was categorized into one of the plurality of dimensions based on a common characteristic chosen for that dimension, wherein each dimension in the plurality of dimensions includes two or more of the plurality of attributes, wherein all of the attributes in each dimension in the plurality of dimensions share the common characteristic chosen for that dimension, wherein each of the other pieces of data for each of the plurality of dimensions are attribute values independent of the dimension and the entity, wherein the first score for the entity for each of the plurality of dimensions indicates the influence of that dimension on the predicted outcome for the entity;
• and
• cause the presentation on a display of a representation of the first scores for the plurality of dimensions to a user to instruct the user in determining a course of action.

A device for determining the influence of attributes on a predicted outcome for a customer, wherein the predicted outcome was selected from a plurality of possible outcomes based on probabilities generated by application of a non-linear statistical model on a plurality of input attributes, wherein there is an attribute value for each of the plurality of attributes that describes a behavior or a characteristic of the customer, the device comprising:

• a categorizer to categorize each attribute in the plurality of attributes into one of a plurality of dimensions based on a common characteristic chosen for that dimension, wherein each dimension in the plurality of dimensions includes two or more of the plurality of attributes, wherein all of the attributes in each dimension in the plurality of dimensions share the common characteristic chosen for that dimension;
• a non-linear statistical model to compute probabilities of each possible outcome in the plurality of possible outcomes;
• a score generator for computing for each dimension in the plurality of dimensions, a first score based on multiple applications of the non-linear statistical model on different combinations of other pieces of data with the attribute values for the customer in that dimension, wherein each of the other pieces of data for each of the plurality of dimensions are attribute values independent of the dimension and the customer, wherein the first score for the customer for each of the plurality of dimensions indicates the influence of that dimension on the predicted outcome for the customer.