Patent ID: 6782390
Filing Date: 2004-08-24
Classification: G06F,Y10S

Abstract:
A method executed on a computer for modeling expected behavior of entities represented in a dataset of records comprises:scoring records of a dataset that is segmented into a plurality of data segments by executing a plurality of models each model to produce a result that indicates a prediction of the expected behavior; and converting scores of the records into probability estimates that correspond to the prediction of the expected behavior, the converting further comprising adjusting probabilities assigned to scores of records based on whether data used to train models had adjusted weights assigned to positive and negative examples of the data, wherein converting is provided in accordance with: PRS=11+(1-y)/y*(1-orig)/orig*samp/(1-samp)where â€œPRSâ€  is predicted response rate, â€œyâ€  is model score between 0 and 1, â€œorigâ€  is an original response rate for the data segment, and â€œsampâ€  is the sampled response rate for the training data for the model.