Method and apparatus for visualizing and interacting with decision trees

A method of generating a visualization of a predictive analytics data model in a computing device, the method comprising: accessing the predictive analytics data model; wherein the predictive analytics data model is based on plural instances of sample data and is usable by a processor to algorithmically generate a result based on input data; generating visualization data for the prediction analytics model, the visualization data including a decision tree comprising multiple nodes and branches, the nodes including a single root node and a plurality of terminal nodes; wherein each terminal node has a corresponding unique path, defined by a series of the branches and nodes, extending between the root node and the terminal node; in the computing device, identifying metrics associated with the decision tree, the metrics including corresponding numbers of instances of the sample data associated with respective nodes and branches; and in the computing device, automatically modifying the visualization data, without user input, by filtering out portions of the decision tree based on the numbers of instances of the sample data, without modifying the prediction analytics model; wherein the filtered portions correspond to the nodes and branches that represent less than a threshold number of instances of the sample data; and in the computing device, generating the visualization of the predictive analytics model using the automatically modified visualization data and displaying said visualization on an electronic display screen coupled to the computing device, wherein the remaining, unfiltered portion of the decision tree is displayed on the electronic display screen. H:\der\Interwoven\NRPortbl\DCC\DER\16867306 .docx - 26/4/18