1. A computer aided technique for visually analyzing the results of the application of predictive models to data sets, including big data, comprising the following steps: a) storing data and predictive models; b) selecting a predictive model; c) applying the predictive model to the data to generate a score for each data object; d) selecting an analytical threshold to employ with the scores; e) outputting a graphical display that shows the data objects arranged along an axis according to their predictive model score along with an indication of the value of a currently chosen threshold; f) outputting a table with a row associated with the threshold and columns showing expected predictive performance metrics calculated from performance statistics of the predictive model; and g) repeating steps d) through f) for a different threshold and dynamically updating the display and tables with the data for each threshold wherein the density of values in the graphical display and the tabular output informs the user choice in selecting an appropriate threshold.