PREDICTIVE MODELLING TO SCORE CUSTOMER LEADS USING DATA ANALYTICS USING AN END-TO-END AUTOMATED, SAMPLED APPROACH WITH ITERATIVE LOCAL AND GLOBAL OPTIMIZATION

摘要

Embodiments of the present invention disclose system to determine the best model to perform lead scoring for a given data set. The system can perform a multi-step iterative procedure including variable selection, feature set selection, training data selection, model development, model validation and process optimization. The system also performs local and global optimizations iteratively to determine the best possible model for a given scenario.