2026-09-18T19:51:27Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1240822021-07-05T14:03:20Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Alex ('Sandy') Pentland.
Loaiza Saa, Isabella.
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
2020-03-09T18:52:43Z
2020-03-09T18:52:43Z
2019
2019
https://hdl.handle.net/1721.1/124082
1142235692
Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2019
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 39-41).
In this thesis, we use data on political interactions between country pairs to predict changes in trade. We implemented and applied a new feature selection algorithm called Boruta to build a compact set of predictor variables for this task. After finding a consistent set of features we used a Random Forest Classifier to predict bilateral changes in trade between 1998-2014. To better understand the contribution of each of the predictor variables used in the model we employ three different methods for calculating feature importance. Our results suggest that political and diplomatic interaction at at least as important (if not more) as distance and for predicting changes in trade.
by Isabella Loaiza Saa.
S.M.
S.M. Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences
41 pages
eng
Massachusetts Institute of Technology
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
http://dspace.mit.edu/handle/1721.1/7582
Program in Media Arts and Sciences
Cheap talk and costly consequences
Thesis
application/pdf
2020-03-09T18:52:43Z
Publication
Master
Media
unknown
unknown
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