1. A computer-implemented method and system for visually-assisted, thresholding of predictive models: a) incorporating a memory device, that contains objects (“examples”) and one or more predictive models; b) incorporating a processing device which applies the model to the examples to generate a score for each; c) the processing device outputting graphical displays on a display device; d) the graphical displays containing a series of icons, each denoting an individual object to be classified; e) the graphical displays including strips and vertical bars denoting the score of each object and the value of the currently chosen threshold while random vertical jittering is used to separate the presented examples; f) the graphical displays containing tables showing expected predictive performance metrics at each threshold and for the currently chosen threshold value, calculated from performance statistics of the predictive model; g) the tables being dynamically updated once a user changes values of score threshold; h) the tables being configurable so that they show only metrics of interest to the system user; i) the graphical displays allowing simultaneous depiction one or more thresholds, one or more classes and one or more predictive models; j) the system allowing a user input preferences of trade-offs among false positives, false negatives, true positives and true negatives; k) the system allowing a user input preferences for maximum number of objects classified as positive that can be examined by the user; and l) outputting a final threshold that satisfies user preferences and is consistent with data and model operating characteristics.