Repeat the task from the previous exercise (4 Introducing Scikit-Learn). But this time use a SVM classifier. To beat the results of the Gaussian Naive Bayes Classifier you wil have to find proper hyperparameter. Try varying the kernel and C parameter. Look into the documentation to find a list of the available kernels. Don't stop optimizing until you've achieved a perfect (i.e. accuracy 1.0) result. Use, once more, the accuracy_score method.
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