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- accuracy=[]
- for i in np.range(8):
- clf=svm.SVC(random_state=42).fit(X_train,y_train)
- clf_score=clf.Score(X_test,y_test)
- accuracy.append(clf_score)
- accuracy= [0.98 , 0.995, 0.91, 0.98, 0.93, 0.95, 0.98, 0.96]
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