A machine learning, bias-free approach for predicting business success using Crunchbase data

作者：

Highlights：

• Forecasting a company’s success with supervised machine learning methods.

• Preventing look-ahead bias.

• Direct applicability as a decision support system.

• Promising results were obtained with the gradient boosting classifier.

摘要

•Forecasting a company’s success with supervised machine learning methods.•Preventing look-ahead bias.•Direct applicability as a decision support system.•Promising results were obtained with the gradient boosting classifier.

论文关键词：Startups,Supervised learning,XGBoost,Crunchbase,Look-ahead bias

论文评审过程：Received 24 September 2020, Revised 26 January 2021, Accepted 21 February 2021, Available online 6 March 2021, Version of Record 6 March 2021.

论文官网地址：https://doi.org/10.1016/j.ipm.2021.102555