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7. Support vector machines learn a decision boundary leading to the largest margin from both classes. You are training SVM on a tiny dataset with
7. Support vector machines learn a decision boundary leading to the largest margin from both classes. You are training SVM on a tiny dataset with 4 points shown in Figure 1. This dataset consists of two examples with class label -1 (denoted with plus), and two examples with class label +1 (denoted with triangles).
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