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- x=dataset_csv[:int(round(cols*0.9)),0:3]
- y=dataset_csv[:int(round(cols*0.9)),3]
- clf = svm.SVC(C=1.0, cache_size=10000, class_weight=None, coef0=0.0,
- decision_function_shape='ovo', degree=3, gamma='auto', kernel='poly',
- max_iter=-1, probability=False, random_state=None, shrinking=True,
- tol=0.001, verbose=False)
- clf.fit(x, y)
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