(Machine Learning) Use SVM from sklearn to classify non-linearly sperable datasets. Refer to the example in sklearn http://scikit-learn.org/stable/auto_examples/svm/plot_iris.html, you can use this code or part of it in your solutions. Load (using load_breast_cancer) datasets from sklearn (datasets.load_breast_cancer()):

a. select and evalute the "best kernal SVM" and the "worse kernel SVM" model could fit this dataset (you can empirically select the hyperparameters values), justify your answer.