Abstract: Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. For example, embodiments of the present invention can, in response to receiving information, predict availability of respective services deployed in a cloud environment. Embodiments of the present invention can then calculate an elastic index based on the predicted availability of the respective services.

Abstract: Determining a class-specific predictor indicator importance can include generating, using machine learning, a prediction model having a tree structure including nodes, class label subgroups, and class-specific predictor indicators. A class-specific predictor indicator importance can be generated for a selected class-specific predictor indicator by merging a term predictor indicator frequency and a purity predictor indicator frequency at each instance of the selected class-specific predictor indicator within one or more nodes of the tree structure. A representation of the tree structure displayed in a graphical user interface can depict each path between a root node of the tree structure and a leaf node mapped to the selected class label subgroup having a node containing an instance of the selected class-specific predictor indicator in a manner that contrasts with other paths between the root node and other leaf nodes of the tree structure.