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Supported Vectored Machine (SVM) is one of the most historical, but also most commonly used machine learning models in supervised learning. In this project, I built a SVM model with the Sequential Minimal Optimization (SMO) algorithm using SAS IML procedure. Also, I simulated some linearly separable data using data step and compared the result of the SVM model with the SAS build-in Logistic Procedure. Finally, I applied the model to a famous dataset called credit.
This template is for typesetting BSc thesis at Southwest Forestry University, Kunming, China.
You can always find the updated version at:
https://github.com/wx672/texmf/tree/master/doc/latex/swfu/swfcthesis/tutorial