उदाहरणों को हटाने का प्रभाव

# Train a linear SVM
svm = SVC(kernel="linear")
svm.fit(____)
plot_classifier(X, y, svm, lims=(11,15,0,6))

# Make a new data set keeping only the support vectors
print("Number of original examples", len(X))
print("Number of support vectors", len(svm.support_))
X_small = X[____]
y_small = y[____]

# Train a new SVM using only the support vectors
svm_small = SVC(kernel="linear")
svm_small.fit(____)
plot_classifier(X_small, y_small, svm_small, lims=(11,15,0,6))