Is Model Accuracy Enough? A Field Evaluation Of A Machine Learning Model To Catch Bogus Firms
收藏NBER2024-07-01 更新2025-01-04 收录
下载链接：
https://www.nber.org/papers/w32705
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资源简介：
We investigate the use of a machine learning (ML) algorithm to identify fraudulent non-existent firms. Using a rich dataset of tax returns over several years in an Indian state, we train an ML-based model to predict fraudulent firms. We then use the model predictions to carry out field inspections
提供机构：
美国国家经济研究局
创建时间：
2024-07-01
