Method of dividing past computing instances into predictable and unpredictable sets and method of predicting computing value

An embodiment of a method of dividing past computing instances into predictable and unpredictable sets begins with a first step of a computing entity storing a training data set comprising past computing instances. Each past computing instance comprises attributes and a past computing value. In a second step, the computing entity separates the training data set into a predictable set of past computing instances and an unpredictable set of past computing instances. According to an embodiment, a method of predicting a computing value begins with the first and second steps. The method of predicting the computing value continues with a third step of the computing entity forming a predictor from the predictable set of past computing instances. In a fourth step, the computing entity applies the predictor to a pending computing instance that meets a predictability test to determine a predicted value for the pending computing instance.