Affiong's Lab on SVM #60
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This lab was all about applying Support Vector Machines (SVM) for classificatio. I learned how to preprocess the data, build an SVM model with different kernel types, and evaluate its performance using metrics like F1 score and Jaccard index. The most interesting part was comparing kernel functions to see how they affect the model’s accuracy. A little tricky at first, but super satisfying once it clicked!