Machine Learning

Decision Trees and Random Forests

OnCorps links every decision app with analytic decision trees. The trees continuously compute the probabilities of achieving a given outcome. The branches highlight the most important features in a dataset contributing to the outcome. To improve predictive accuracy, OnCorps dashboards run random forests which model the data to hundreds or thousands of times.

Branch Analysis

OnCorps has a unique feature in its customized R dashboard, enabling analysts to isolate the decisions and decision makers in a specific branch of the decision tree. This allows leaders to assess the differences between choices made by a group. It also allows firms to target messages to specific sub groups in a cohort.

Business Case Comparisons

Uniquely, OnCorps customers can build bottoms-up scenarios by comparing different decisions and decision makers. Analysts can choose branches, leaves, and even sub segments in a distribution by standard deviation from the mean.