Skip to main content
Have a personal or library account? Click to login
Interpretable Machine-Learning Approach in Estimating FDI Inflow: Visualization of ML Models with LIME and H2O Cover

Interpretable Machine-Learning Approach in Estimating FDI Inflow: Visualization of ML Models with LIME and H2O

TalTech Journal of European Studies
Volume 11 (2021): Issue 1 (May 2021)
By:   
Open Access
|May 2021
Download

Download Article

Download the full article as a PDF file.

DOI: https://doi.org/10.2478/bjes-2021-0009 | Journal eISSN: 2674-4619 | Journal ISSN: 2674-4600
Journal RSS Feed
Language: English
Page range: 133 - 152
Published on: May 26, 2021
Published by: Tallinn University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
FDI,
H2O,
local interpretable model-agnostic explanations,
machine learning
Related subjects:
Computer sciences,
Computer sciences, other,
Business and economics,
Political economics,
Political economics, other,
Law,
Law, other,
Social sciences,
Social sciences, other

© 2021 Devesh Singh, published by Tallinn University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 11 (2021): Issue 1 (May 2021)
Previous article
Next article