1. A method comprising: identifying a plurality of data sets, wherein each data set in the plurality of data sets includes multiple values indicating a set of attributes that relate to a computer system and that correspond to a different time period of a plurality of time periods; generating a statistical model based on the plurality of data sets; identifying a particular data set that includes a set of values that indicate the set of attributes and that correspond to a particular time period that is subsequent to each time period of the plurality of time periods; using the statistical model to generate, based on the particular data set, a predicted value; identifying an actual value that corresponds to the particular time period; calculating a difference between the actual value and the predicted value, wherein the difference indicates a likelihood that the computer system is experiencing a problem; causing the difference between the actual value and the predicted value to be displayed on a screen of a computing device; for each value in the set of values of the particular data set, determining a measure of influence that said each value had on the predicted value; based on the measure of influence of each value in the set of values, creating an ordered set of attributes that indicates attributes, in the set of attributes, that have the highest measure of influence on the predicted value; causing the ordered set of attributes to be displayed on the screen of the computing device; wherein the method is performed by one or more computing devices.