Spring Term Week 1 Chongxian Chen

This week I am working on allowing the users to select different estimator. I was using linear regression estimator before. I tried support vector machine's support vector classification. SVM in sklearn has several kernel available. I have tried linear, polynomial, rbf. SVM model has pretty good performance on our project so far, but it could take very long to generate the results. It took my MacBook Pro about 10 hours to fit about 70000 instances for SVM's rbf kernel. Next week I will finish this part.