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

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

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...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: SURYAKANTHA KANCHANA, KUDLI RAJARAM VENKATESHA RAO, SUBRAMANYA KASHYAP, HEGDE VASANTI
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung: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.