Systems for learning and using one or more sub-population features associated with individuals of one or more sub-populations of a gross population and related methods therefor

摘要

Identifying one or more sub-populations of case individuals from a gross population of case individuals can comprise identifying the one or more sub-populations of case individuals. Case individuals of the first sub-population of case individuals are associated with at least one first sub-population feature. The first case individuals are exclusive from the second case individuals. The first case individuals and the second case individuals together comprise the case individuals of the first sub-population of case individuals presenting first control content to case individuals of the first control sub-population. The first control content is selected according to a first statistical model measuring an average feedback metric of the case individuals of the first control sub-population provided in response to being presented the first control content presenting first test content to case individuals of the first test sub-population. Determining that a probability value for a difference of the average feedback metric of the case individuals of the first test sub-population and the average feedback metric of the case individuals of the first control sub-population is less than a predetermined significance level value.