What question did this study set out to answer?

The aim is to explore advanced ensemble methods that enhance the accuracy of lead scoring in automotive CRM systems.

April 26, 2026Open Access

Repository Copy of: Probability-Calibrated Ensemble Methods for Automotive CRM Lead Scoring

Key Points

The aim is to explore advanced ensemble methods that enhance the accuracy of lead scoring in automotive CRM systems.
Utilized probability calibration techniques within ensemble methods.
Focused on predicting lead quality for automotive customer relationship management.
Demonstrated improved accuracy in lead scoring using calibrated probability outputs.
Validated methods through ensemble models showcasing better predictive performance.

Abstract

This record is a repository-preserved copy of an article originally published in The European Journal of Research and Development by Orclever Science it is not the version of record, and Zenodo is not the publisher of this work. Version of Record (primary publication): https://doi.org/10.56038/ejrnd.v5i1.717 Publisher: Orclever Science & Research Group. Journal: The European Journal of Research and Development. For citation, please use the Crossref DOI and the journal citation above — not the Zenodo DOI.

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