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How can I fix my problem in SVM classification confusion matrix that dose not predict correctly?

the confusion matrix doesnt predict 2 classes correctly:

from sklearn import svm
clf = svm.SVC(kernel='linear')
clf.fit(xtrain, train)

ypredclf = clf.predict(xtest)
cmSVM = confusion_matrix(ytest, ypredclf)
fig, ax = plot_confusion_matrix(conf_mat=cmSVM,
                            show_absolute=True,
                            show_normed=True,
                            colorbar=True)
plt.title('Confusion Matrix SVM')
plt.savefig('Confusion Matrix SVM.jpg')
plt.show()

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