default author photo

Arpita Mukherjee

affiliation not provided to SSRN

SCHOLARLY PAPERS

1

DOWNLOADS

112

TOTAL CITATIONS

0

Scholarly Papers (1)

1.

Performance and Interpretability Comparisons of Supervised Machine Learning Algorithms: An Empirical Study

Number of pages: 60 Posted: 29 Apr 2022 Last Revised: 05 May 2022
Alice Liu, Arpita Mukherjee, Linwei Hu, Jie Chen and Vijay Nair
2nd Order Solutions, affiliation not provided to SSRN, affiliation not provided to SSRN, Wells Fargo and Corporate Model Risk, Wells Fargo
Downloads 112 (635,507)

Abstract:

Loading...

supervised machine learning algorithms, random forest, gradient boosting machines, xgboost, feedforward neural network, interpretability, model performance