Term: Spring 2020
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Team 12
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Team members
- Gao, Qing (qg2175)
- Liu, Yuqiao (yl4278)
- Wolansky, Ivan (iaw2110)
- Yan, Xiyao (xy2431)
- Zhu, Huizhe (hz2657) Presenter
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Project summary: In this project, we created a classification engine for facial emotion recognition. We built Lasso/Ridge, Tree-based models, SVM, Voting classifier, and Bagging models based on 2500 image data. The prediction accuracy on test set improves from 22.8% (Baseline model) to 54.28% (final advanced model).
Contribution statement: (default) All team members contributed equally in all stages of this project. All team members approve our work presented in this GitHub repository including this contributions statement.
Following suggestions by RICH FITZJOHN (@richfitz). This folder is orgarnized as follows.
proj/
├── lib/
├── data/
├── doc/
├── figs/
└── output/
Please see each subfolder for a README file.