Method and apparatus for comparison over time of prediction model characteristics

摘要

Disclosed are methods and apparatus for reporting significant data mining changes. In general, embodiments of the present invention address the shortcomings of the prior art through comparison over time of prediction model characteristics, such as inferences. Embodiments of the present invention detect trends in the model itself by detecting changes in levels of correlation (or any other model aspect) between individual elements of input data and targets of predictions. In this specific embodiment, users of the model are preferably alerted when an input characteristic or other model aspect, which was not important before, becomes important and when an input characteristic, which was important, loses its importance.