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Monday todo:

Get support vectors and cul the minimum margin of them. Margin larger => better border
```
from sklearn import svm

X = [[0, 0], [1, 1]]
y = [0, 1]

clf = svm.SVC(kernel='linear')
clf.fit(X, y)
clf.support_vectors_
```
サポートベクター群の、境界関数を通した出力値を算出しその絶対値の最小値を取得。